Acquisition method, calculation method, evaluation device, calculation device, evaluation program, calculation program, and evaluation system
By evaluating the concentration values of 24 metabolites and 19 amino acids in the blood and using specific formulas for calculation, the problem of difficulty in early diagnosis of pancreatic cancer in the prior art was solved, and a highly accurate pancreatic cancer evaluation was achieved.
Patent Information
- Application Number
- JP2023083388
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2016-10-04
- Filing Date
- 2023-05-19
- Publication Date
- 2025-05-09
- Estimated Expiration
- 2037-10-04
AI Technical Summary
The prior art has not yet effectively developed a method for diagnosing blood metabolites as tumor markers for pancreatic cancer, making it difficult to detect early pancreatic cancer.
The blood concentration values of 24 metabolites and 19 amino acids were evaluated using specific formulas to evaluate the status of pancreatic cancer.
It provides highly reliable information that can help judge the status of pancreatic cancer and improves the accuracy of early diagnosis.
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Abstract
Description
[Technical field]
[0001] The present invention relates to an evaluation method, an evaluation device, an evaluation program, an evaluation system, and a terminal device. [Background technology]
[0002] In Japan, the number of deaths from pancreatic cancer in 2009 was 14,094 men and 12,697 women, making it the fifth leading cause of cancer deaths in men and the fourth leading cause of cancer deaths in women. The lifetime incidence of pancreatic cancer is 2%.
[0003] Pancreatic cancer often shows few symptoms depending on the location of the cancer, and is often discovered after it has progressed. Even if pancreatic cancer is discovered at less than 2 cm in size using diagnostic imaging, it often has metastasized to adjacent tissues outside the pancreas, and the prognosis is extremely poor. It is desirable to detect pancreatic cancer as early as possible before surgery is possible.
[0004] Abdominal ultrasound, CT, and MRI are used to diagnose pancreatic cancer, but the detection rate of pancreatic cancer is not high.
[0005] Serum cancer markers include CA19-9, CEA, SPan-1, DUPAN-2, etc. These markers have relatively high sensitivity and specificity for advanced cancer, but the positive rate for early cancer is low, and they may also be positive for cancers other than pancreatic cancer.
[0006] Diagnostic imaging using endoscopes such as ERCP and EUS is known to be effective in detecting pancreatic cancer, but it places a high physical burden on patients and is not suitable for mass screening, and there is a risk of bleeding during the examination. Furthermore, tissue diagnosis by biopsy provides a definitive diagnosis, but it is a highly invasive test, and it is not practical to perform biopsy at the screening stage.
[0007] Therefore, in terms of the physical burden on patients and cost-effectiveness, it is desirable to narrow down subjects with a high probability of developing pancreatic cancer and to treat them. Specifically, it is desirable to select subjects using a minimally invasive method, narrow down the subjects by performing imaging diagnosis on the selected subjects, and treat those subjects who have been definitively diagnosed with pancreatic cancer.
[0008] It is known that the concentration of amino acids in blood changes with the onset of cancer. For example, Cynober (Non-Patent Document 1) reports that the consumption of glutamine increases mainly as an oxidative energy source, arginine increases as a precursor of nitrogen oxides and polyamines, and methionine increases due to the activation of the methionine uptake ability of cancer cells. In addition, Schrader et al. (Non-Patent Document 2) and Vissers et al. (Non-Patent Document 3) report that the amino acid composition in the plasma of pancreatic cancer patients is different from that of healthy individuals.
[0009] Furthermore, Patent Document 1 discloses that "a specific, finite number of components to be analyzed are selected and quantified from the biological components in a specimen collected from a subject, and metabolomic analysis is performed by carrying out multivariate analysis, and the analysis results are compared with previously obtained analysis results of a group of healthy subjects and a group of disease patients, thereby making it possible to easily perform tests for specific diseases, such as early diagnosis, evaluation of the effectiveness of treatment, and prognosis diagnosis." Furthermore, in the examples described in Patent Document 1, it is stated that for serum metabolome data measured by GCMS in healthy subjects and pancreatic cancer subjects, "multivariate analysis was performed using 61 components using SIMCA-P+ (Umetrics). Differences were examined using a score plot of principal component analysis (PCA). Of the total of 61 analyzed biomolecules, PC1 (t[1]), PC2 (t[2]), and PC3 (t[3]) accounted for 20 (32.3%), 15 (24.7%), and 7 (12.0%) of the 61 components, respectively (A=3, R2X=0.69). As a result, it was confirmed that the distribution of analyzed biomolecules differed between pancreatic cancer patients and healthy subjects."
[0010] In addition, as prior patents, Patent Document 2, Patent Document 3, and Patent Document 4 have been published on a method for relating amino acid concentration to a biological state. In addition, as prior patents, Patent Document 5 on a method for evaluating the state of lung cancer using amino acid concentration, Patent Document 6 on a method for evaluating the state of breast cancer using amino acid concentration, Patent Document 7 on a method for evaluating the state of colorectal cancer using amino acid concentration, Patent Document 8 on a method for evaluating the state of cancer using amino acid concentration, Patent Document 9 on a method for evaluating the state of gastric cancer using amino acid concentration, Patent Document 10 on a method for evaluating the type of cancer using amino acid concentration, Patent Document 11 on a method for evaluating the state of female reproductive cancer using amino acid concentration, Patent Document 12 on a method for evaluating the state of prostate disease including at least one of prostate cancer and prostate hyperplasia using amino acid concentration, Patent Document 13 on a method for evaluating the state of pancreatic cancer using amino acid concentration, and Patent Document 14 on a method for evaluating the state of pancreatic cancer risk disease using amino acid concentration have been published.
[0011] Furthermore, with the development of measuring instruments such as LC-MS and LC-MS / MS, it is becoming clear that the blood concentrations of metabolites with lower blood concentrations than amino acids also fluctuate in lung cancer patients. For example, Patent Document 15 reports that serum ADMA concentrations increase in lung cancer patients. Patent Document 16 reports that serum sarcosine concentrations increase in lung cancer patients. [Prior art documents] [Patent documents]
[0012] [Patent Document 1] JP 2011-247869 A [Patent Document 2] International Publication No. 2004 / 052191 [Patent Document 3] International Publication No. 2006 / 098192 [Patent Document 4] International Publication No. 2009 / 054351 [Patent Document 5] International Publication No. 2008 / 016111
Patent document 6
Patent document 7
Patent document 8
Patent Document 9
Patent document 10
Patent document 11
Patent document 12
Patent document 13
Patent document 14
Patent document 15
Patent document 16
Non-licensed literature
[0013]
Non-licensed literature 1
Non-licensed Document 2
[0014] However, there has been a problem in that no technology has been developed or put to practical use to diagnose pancreatic cancer using metabolites in the blood as tumor markers.
[0015] The present invention has been made in consideration of the above, and aims to provide an evaluation method, evaluation device, evaluation program, evaluation system, and terminal device that can provide highly reliable information that can be useful in understanding the state of pancreatic cancer. [Means for solving the problem]
[0016] In order to solve the above-mentioned problems and achieve the object, the evaluation method of the present invention is directed to evaluating 24 types of metabolites in the blood of an evaluation subject (1-Me-His (1-methyl-histidine), aABA (α-aminobutyric acid), aminoadipic acid, bABA (β-aminobutyric acid), bAiBA (β-aminoisobutyric acid), cadaverine, ethylglycine, GABA (γ-aminobutyric acid), acid), Homoarginine, Hypotaurine, Kinurenine, N6-Acetyl-L-Lys(N6-Acetyl-L-Lysine), Putrescine, Serotonin, Spermidine, Spermine, ADMA(asymmetric dimethylarginine), Homocitrulline, 3-Me-His(3-methyl-histidine), Hydroxyproline, Phosphoethanolamine), N-Me-bABA(N-methyl-β-aminobutyric The method includes an evaluation step of evaluating a state of pancreatic cancer in the subject using a concentration value of at least one of AC(13:1) (N-methyl-β-aminobutyric acid), AC(13:1) (Acylcarnitine(13:1)), and EPA (cis-5,8,11,14,17-Eicosapentaenoic acid).
[0017] Furthermore, the evaluation method of the present invention is characterized in that, in the evaluation step, the concentration value of at least one of 19 types of amino acids (Asn, His, Thr, Ala, Cit, Arg, Tyr, Val, Met, Lys, Trp, Gly, Pro, Orn, Ile, Leu, Phe, Ser, Gln) in the blood of the subject to be evaluated is further used.
[0018] In this specification, various amino acids are mainly represented by abbreviations, but their formal names are as follows: (Abbreviation) (Formal name) Ala Alanine Arg Arginine Asparagine Cit Citrulline Gln Glutamine Gly Glycine His Histidine Isoleucine Leu Leucine Lysine Methionine Orn Ornithine Phe Phenylalanine Proline Ser Serine Thr Threonine Trp Tryptophan Tyr Tyrosine Val Valine
[0019] Furthermore, the evaluation method of the present invention is characterized in that, in the evaluation step, the value of the formula is calculated using an equation including a variable into which the concentration value of at least one of the 24 types of metabolites is substituted, thereby evaluating the state of pancreatic cancer in the subject to be evaluated.
[0020] Furthermore, the evaluation method of the present invention is characterized in that, in the evaluation step, a concentration value of at least one of the 19 types of amino acids in the blood of the subject to be evaluated is further used, and the formula further includes a variable into which the concentration value of at least one of the 19 types of amino acids is substituted.
[0021] Furthermore, the evaluation device of the present invention is characterized in that it is an evaluation device equipped with a control unit, and the control unit is equipped with an evaluation means for evaluating the state of pancreatic cancer in the evaluation subject using the concentration value of at least one of the above-mentioned 24 types of metabolites in the blood of the evaluation subject.
[0022] Furthermore, the evaluation method of the present invention is an evaluation method executed in an information processing device equipped with a control unit, and is characterized in that it includes an evaluation step executed in the control unit, of evaluating the state of pancreatic cancer in the subject using a concentration value of at least one of the above-mentioned 24 types of metabolites in the blood of the subject.
[0023] Furthermore, the evaluation program of the present invention is an evaluation program to be executed in an information processing device equipped with a control unit, and is characterized in that it includes an evaluation step to be executed in the control unit, of evaluating the state of pancreatic cancer in the subject using the concentration value of at least one of the above-mentioned 24 types of metabolites in the blood of the subject.
[0024] Furthermore, a recording medium according to the present invention is a non-transitory computer-readable recording medium, characterized in that it contains programmed instructions for causing an information processing device to execute the evaluation method.
[0025] Furthermore, the evaluation system according to the present invention is an evaluation system configured by communicatively connecting an evaluation device having a control unit and a terminal device having a control unit and providing concentration data regarding the concentration value of at least one of the 24 types of metabolites in the blood of an evaluation subject via a network, wherein the control unit of the terminal device comprises: concentration data transmitting means for transmitting the concentration data of the evaluation subject to the evaluation device; and result receiving means for receiving an evaluation result regarding the pancreatic cancer state of the evaluation subject transmitted from the evaluation device, and the control unit of the evaluation device comprises: concentration data receiving means for receiving the concentration data of the evaluation subject transmitted from the terminal device; evaluation means for evaluating the pancreatic cancer state of the evaluation subject using the concentration value of at least one of the 24 types of metabolites included in the concentration data of the evaluation subject received by the concentration data receiving means; and result transmitting means for transmitting the evaluation result obtained by the evaluation means to the terminal device.
[0026] Furthermore, the terminal device of the present invention is a terminal device equipped with a control unit, and the control unit is equipped with a result acquisition means for acquiring evaluation results regarding the state of pancreatic cancer in the subject to be evaluated, and the evaluation results are a result of evaluating the state of pancreatic cancer for the subject to be evaluated using a concentration value of at least one of the above-mentioned 24 types of metabolites in the blood of the subject to be evaluated.
[0027] Furthermore, the terminal device according to the present invention is configured so as to be communicatively connected via a network to an evaluation device which evaluates the state of pancreatic cancer in the evaluation subject, and the control unit further comprises concentration data transmitting means which transmits concentration data relating to the concentration value of at least one of the 24 types of metabolites in the blood of the evaluation subject to the evaluation device, and the result acquiring means receives the evaluation result transmitted from the evaluation device.
[0028] Furthermore, the evaluation device of the present invention is an evaluation device equipped with a control unit that is communicatively connected via a network to a terminal device that provides concentration data regarding the concentration value of at least one of the 24 types of metabolites in the blood of the subject to be evaluated, and the control unit is characterized in that it comprises: a concentration data receiving means that receives the concentration data of the subject to be evaluated transmitted from the terminal device; an evaluation means that evaluates the state of pancreatic cancer for the subject to be evaluated using the concentration value of at least one of the 24 types of metabolites included in the concentration data of the subject to be evaluated received by the concentration data receiving means; and a result transmitting means that transmits the evaluation results obtained by the evaluation means to the terminal device. Effect of the Invention
[0029] According to the present invention, the concentration value of at least one of the above 24 types of metabolites in the blood of the subject is used to evaluate the state of pancreatic cancer in the subject, thereby providing highly reliable information that can be useful in knowing the state of pancreatic cancer. [Brief description of the drawings]
[0030] [Figure 1] FIG. 1 is a diagram showing the basic principle of the first embodiment. [Diagram 2] FIG. 2 is a diagram showing the basic principle of the second embodiment. [Diagram 3] FIG. 3 is a diagram showing an example of the overall configuration of the present system. [Figure 4] FIG. 4 is a diagram showing another example of the overall configuration of the present system. [Diagram 5] FIG. 5 is a block diagram showing an example of the configuration of the evaluation device 100 of this system. [Figure 6] FIG. 6 is a diagram showing an example of information stored in the concentration data file 106a. [Figure 7] FIG. 7 is a diagram showing an example of information stored in the index state information file 106b. [Figure 8]FIG. 8 is a diagram showing an example of information stored in the designated index state information file 106c. [Figure 9] FIG. 9 is a diagram showing an example of information stored in the formula file 106d1. [Figure 10] FIG. 10 is a diagram showing an example of information stored in the evaluation result file 106e. [Figure 11] FIG. 11 is a block diagram showing the configuration of the evaluation unit 102d. [Figure 12] FIG. 12 is a block diagram showing an example of the configuration of a client device 200 of this system. [Figure 13] FIG. 13 is a block diagram showing an example of the configuration of the database device 400 of this system. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0031] Hereinafter, an embodiment (first embodiment) of the evaluation method according to the present invention, and an embodiment (second embodiment) of the evaluation device, evaluation method, evaluation program, recording medium, evaluation system, and terminal device according to the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to these embodiments.
[0032] [First embodiment] [1-1. Overview of the first embodiment] Here, an overview of the first embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing the basic principle of the first embodiment.
[0033] First, concentration data is obtained regarding the concentration values of substances (blood substances containing at least one of the above 24 types of metabolites and the above 19 types of amino acids) in blood (including, for example, plasma, serum, etc.) collected from a subject to be evaluated (for example, an individual such as an animal or human) (step S11).
[0034] In step S11, for example, concentration data on the blood substance measured by a company or the like that measures concentration values may be obtained. Alternatively, concentration data on the blood substance may be obtained by measuring the concentration value of the blood substance from blood collected from the subject to be evaluated, for example, by the following measurement method (A), (B), or (C). Here, the unit of the concentration value of the blood substance may be, for example, molar concentration, weight concentration, or enzyme activity, or may be obtained by adding, subtracting, multiplying, or dividing any constant by these concentrations. (A) Plasma is separated from blood by centrifuging the collected blood sample. All plasma samples are frozen and stored at -80°C until the concentration value is measured. When measuring the concentration value, acetonitrile is added to perform a deproteinization treatment, and then a labeling reagent (3-aminopyridyl-N-hydroxysuccinimidyl carbamate) is used for pre-column derivatization, and the concentration value is analyzed by liquid chromatography mass spectrometry (LC / MS) (see WO 2003 / 069328 and WO 2005 / 116629). Alternatively, the deproteinized plasma is subjected to solid phase extraction to remove phospholipids, and the concentration value (peak area value) is analyzed by LC / MS. (B) The collected blood samples are centrifuged to separate plasma from the blood. All plasma samples are frozen and stored at -80°C until the concentration values are measured. When measuring the concentration values, sulfosalicylic acid is added to remove proteins, and then the concentration values are analyzed using an amino acid analyzer based on the post-column derivatization method using ninhydrin reagent. (C) The collected blood sample is subjected to blood cell separation using membranes, MEMS technology, or the principle of centrifugation to separate plasma or serum from the blood. Plasma or serum samples that are not subjected to concentration measurement immediately after plasma or serum collection are frozen and stored at -80°C until the time of concentration measurement. When measuring the concentration, molecules that react with or bind to the target blood substance, such as enzymes or aptamers, are used to analyze the concentration by quantifying substances that increase or decrease upon substrate recognition or spectroscopic values.
[0035] Next, the state of pancreatic cancer of the evaluation subject is evaluated using the concentration values of at least one of the 24 types of metabolites and the 19 types of amino acids contained in the concentration data acquired in step S11 (step S12). Note that before executing step S12, data such as missing values and outliers may be removed from the concentration data acquired in step S11. Here, evaluating the state means, for example, examining the current state.
[0036] As described above, according to the first embodiment, in step S11, concentration data of the evaluation subject is acquired, and in step S12, the state of pancreatic cancer of the evaluation subject is evaluated using at least one concentration value of the 24 types of metabolites and the 19 types of amino acids contained in the concentration data of the evaluation subject acquired in step S11. This makes it possible to provide highly reliable information that can be useful in knowing the state of pancreatic cancer.
[0037] Also, the concentration value of at least one of the 24 metabolites and the 19 amino acids may be determined to reflect the pancreatic cancer state of the subject, and the concentration value may be converted, for example, by the method described below, and the converted value may be determined to reflect the pancreatic cancer state of the subject. In other words, the concentration value or the converted value itself may be treated as the evaluation result regarding the pancreatic cancer state of the subject. In order to ensure that the possible range of concentration values falls within a predetermined range (e.g., the range from 0.0 to 1.0, the range from 0.0 to 10.0, the range from 0.0 to 100.0, or the range from -10.0 to 10.0, etc.), the concentration values may be converted, for example, by adding, subtracting, multiplying, or dividing an arbitrary value to the concentration values, by converting the concentration values using a predetermined conversion method (e.g., exponential transformation, logarithmic transformation, angular transformation, square root transformation, probit transformation, reciprocal transformation, Box-Cox transformation, or power transformation, etc.), or by performing a combination of these calculations on the concentration values. For example, the value of an exponential function with the concentration value as the exponent and Napier's number as the base (specifically, the value of p / (1-p) when the natural logarithm ln(p / (1-p)) of the probability p that the state of pancreatic cancer is a predetermined state (e.g., a state in which the standard value has been exceeded, there is a high possibility of the patient having pancreatic cancer, etc.) is defined as being equal to the concentration value) may be further calculated, and a value obtained by dividing the calculated exponential function value by the sum of 1 and the value itself (specifically, the value of the probability p) may be further calculated. The concentration values may also be converted so that the converted values under specific conditions are specific values, for example, the concentration values may be converted so that the converted value is 5.0 when the specificity is 80% and the converted value is 8.0 when the specificity is 95%. In addition, for each metabolite and each amino acid, the concentration distribution may be normalized, and then the deviation values may be calculated so that the average is 50 and the standard deviation is 10. These conversions may be performed according to gender or age.
[0038] In addition, position information on the position of a predetermined mark on a predetermined ruler that is visibly displayed on a display device such as a monitor or a physical medium such as paper may be generated using the concentration value of at least one of the 24 types of metabolites and the 19 types of amino acids, or the converted value if the concentration value is converted, and the generated position information may be determined to reflect the state of pancreatic cancer for the evaluation subject. The predetermined ruler is for evaluating the state of pancreatic cancer, and is, for example, a ruler with a scale, which at least shows scales corresponding to the upper and lower limits of the "range in which the concentration value or the converted value can be taken, or a part of the range". The predetermined mark is, for example, a circle or a star, which corresponds to the concentration value or the converted value.
[0039] In addition, when the concentration value of at least one of the 24 metabolites and the 19 amino acids is lower than a predetermined value (such as the mean value ± 1SD, 2SD, 3SD, N quantile, N percentile, or a cutoff value recognized for clinical significance), or is equal to or higher than a predetermined value, the state of pancreatic cancer may be evaluated for the subject. In this case, instead of the concentration value itself, a concentration deviation value (a value obtained by normalizing the concentration distribution for each metabolite and each amino acid by sex and then deviating the distribution to an average of 50 and a standard deviation of 10) may be used. For example, when the concentration deviation value is less than the mean value -2SD (when the concentration deviation value is <30) or when the concentration deviation value is higher than the mean value +2SD (when the concentration deviation value is >70), the state of pancreatic cancer may be evaluated for the subject.
[0040] In addition, the state of pancreatic cancer in the subject may be evaluated by calculating the value of an equation using an equation including variables into which the concentration values of at least one of the 24 types of metabolites and the 19 types of amino acids, and the concentration values of at least one of the 24 types of metabolites and the 19 types of amino acids are substituted.
[0041] The calculated value of the formula may be determined to reflect the state of pancreatic cancer of the subject, and the value of the formula may be converted, for example, by the methods listed below, and the converted value may be determined to reflect the state of pancreatic cancer of the subject. In other words, the value of the formula or the converted value itself may be treated as the evaluation result regarding the state of pancreatic cancer of the subject. In order to ensure that the possible range of the value of the formula falls within a predetermined range (e.g., a range of 0.0 to 1.0, a range of 0.0 to 10.0, a range of 0.0 to 100.0, or a range of -10.0 to 10.0, etc.), the value of the formula may be transformed, for example, by adding, subtracting, multiplying, or dividing an arbitrary value to the value of the formula, by transforming the value of the formula using a predetermined transformation method (e.g., exponential transformation, logarithmic transformation, angular transformation, square root transformation, probit transformation, reciprocal transformation, Box-Cox transformation, or power transformation, etc.), or by performing a combination of these calculations on the value of the formula. For example, the value of an exponential function with the value of the formula as the exponent and Napier's number as the base (specifically, the value of p / (1-p) when the natural logarithm ln(p / (1-p)) when the probability p of the state of pancreatic cancer being a specified state (e.g., exceeding a reference value, a state in which there is a high possibility of pancreatic cancer, etc.) is defined is equal to the value of the formula) may be further calculated, and a value obtained by dividing the calculated value of the exponential function by the sum of 1 and the value itself (specifically, the value of probability p) may be further calculated. The value of the formula may also be converted so that the converted value under a particular condition is a particular value, for example, the converted value may be 5.0 when the specificity is 80% and 8.0 when the specificity is 95%. The deviation values may also be converted to mean 50 and standard deviation 10. These conversions may be performed according to gender or age. In this specification, the value of an expression may be the value of the expression itself, or may be a value obtained after the value of the expression is converted.
[0042] In addition, position information regarding the position of a predetermined mark on a predetermined ruler that is visibly displayed on a display device such as a monitor or a physical medium such as paper may be generated using the value of the formula or the converted value if the value of the formula is converted, and the generated position information may be determined to reflect the state of pancreatic cancer for the evaluation subject. The predetermined ruler is for evaluating the state of pancreatic cancer, and is, for example, a ruler with a scale, which at least indicates the scale corresponding to the upper and lower limits of the "range in which the value of the formula or the converted value can be taken, or a part of the range". The predetermined mark is, for example, a circle or a star, which corresponds to the value of the formula or the converted value.
[0043] Also, the degree of possibility that the evaluation subject suffers from pancreatic cancer may be qualitatively evaluated.Specifically, the evaluation subject may be classified into one of a plurality of categories defined by at least considering the degree of possibility that the evaluation subject suffers from pancreatic cancer using "at least one concentration value of the above 24 kinds of metabolites and the above 19 kinds of amino acids and one or more preset thresholds" or "at least one concentration value of the above 24 kinds of metabolites and the above 19 kinds of amino acids, a formula including a variable into which the concentration value of the above 24 kinds of metabolites and the above 19 kinds of amino acids is substituted, and one or more preset thresholds". The multiple categories may include a category for subjects with a high possibility of having pancreatic cancer (e.g., subjects considered to have pancreatic cancer) (e.g., rank C described in the examples), a category for subjects with a low possibility of having pancreatic cancer (e.g., subjects considered not to have pancreatic cancer) (e.g., rank A described in the examples), and a category for subjects with a medium possibility of having pancreatic cancer (e.g., rank B described in the examples). The multiple categories may also include a category for subjects with a high possibility of having pancreatic cancer (e.g., pancreatic cancer category described in the examples), and a category for subjects with a low possibility of having pancreatic cancer (e.g., healthy category for subjects with a high possibility of being healthy (e.g., subjects considered to be healthy) described in the examples). Alternatively, the concentration value or the value of the formula may be converted by a predetermined method, and the converted value may be used to classify the evaluation object into one of a plurality of categories.
[0044] The formula used for the evaluation can be in any format, but may be, for example, in the format shown below. Linear models such as multiple regression equations based on the least squares method, linear discriminants, principal component analysis, and canonical discriminant analysis Generalized linear models such as maximum likelihood logistic regression and Cox regression -Generalized linear mixed model that considers random effects such as individual differences and facility differences in addition to generalized linear models · Equations created by cluster analysis such as K-means and hierarchical cluster analysis Formulas based on Bayesian statistics such as MCMC (Markov Chain Monte Carlo), Bayesian Networks, and Hierarchical Bayesian methods - Formulas created by class classification such as support vector machines and decision trees Formulas created using methods that do not fall into the above categories, such as fractional formulas An equation that can be expressed as a sum of different forms of equations
[0045] Furthermore, the formula used in the evaluation may be prepared, for example, by the method described in International Publication No. WO 2004 / 052191, an international application filed by the present applicant, or the method described in International Publication No. WO 2006 / 098192, an international application filed by the present applicant. Note that, if the formula is obtained by these methods, the formula can be suitably used to evaluate the state of pancreatic cancer, regardless of the units of the concentration values of metabolites and / or amino acids in the concentration data as input data.
[0046] Here, in the multiple regression equation, multiple logistic regression equation, canonical discriminant function, etc., a coefficient and a constant term are added to each variable, and these coefficients and constant terms may be real numbers, more preferably, values within the range of the 99% confidence interval of the coefficients and constant terms obtained for performing the various classifications from the data, and even more preferably, values within the range of the 95% confidence interval of the coefficients and constant terms obtained for performing the various classifications from the data. In addition, the value of each coefficient and its confidence interval may be multiplied by a real number, and the value of the constant term and its confidence interval may be added, subtracted, multiplied, or divided by any real constant. When a logistic regression equation, a linear discriminant, a multiple regression equation, etc. are used for evaluation, linear transformation (addition of a constant, constant multiplication) and monotonically increasing (decreasing) transformation (for example, logit transformation, etc.) do not change the evaluation performance and are equivalent to the one before the transformation, so the one after these transformations may be used.
[0047] A fractional expression is one in which the numerator is expressed as the sum of the variables A, B, C, ... and / or the denominator is expressed as the sum of the variables a, b, c, .... Fractional expressions also include sums of fractional expressions of this type, α, β, γ, ... (such as α + β). Fractional expressions also include divided fractional expressions. The variables used in the numerator and denominator may each have an appropriate coefficient. The variables used in the numerator and denominator may also be duplicated. Each fractional expression may have an appropriate coefficient. The values of the coefficients of each variable and the values of the constant terms may be real numbers. Although the positive / negative sign of the correlation between a given fractional formula and one in which the numerator variable and denominator variable have been swapped will generally be reversed, the correlation between them is maintained and the evaluation performance can be considered to be equivalent, so fractional formulas also include those in which the numerator variable and denominator variable have been swapped.
[0048] When evaluating the state of pancreatic cancer, values related to other biological information (e.g., the values listed below) may be used in addition to the concentration values of at least one of the 24 metabolites and the 19 amino acids. Furthermore, the formula used in the evaluation may further include one or more variables into which values related to other biological information (e.g., the values listed below) are substituted, in addition to the variables into which the concentration values of at least one of the 24 metabolites and the 19 amino acids are substituted. 1. Concentrations of blood metabolites other than amino acids (amino acid metabolites, sugars, lipids, etc.), proteins, peptides, minerals, hormones, etc. 2. Blood test values such as albumin, total protein, triglycerides (neutral fats), HbA1c, glycated albumin, insulin resistance index, total cholesterol, LDL cholesterol, HDL cholesterol, amylase, total bilirubin, creatinine, estimated glomerular filtration rate (eGFR), uric acid, GOT (AST), GPT (ALT), GGTP (γ-GTP), glucose (blood glucose level), CRP (C-reactive protein), red blood cells, hemoglobin, hematocrit, MCV, MCH, MCHC, white blood cells, and platelet count. 3. Values obtained from image information such as ultrasound echo, X-ray, CT, MRI, and endoscopic images 4. Values related to biomarkers such as age, height, weight, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, gender, smoking information, dietary information, drinking information, exercise information, stress information, sleep information, family medical history information, disease history information (diabetes, etc.)
[0049] [Second embodiment] [2-1. Overview of the second embodiment] Here, an overview of the second embodiment will be described with reference to FIG. 2. FIG. 2 is a principle configuration diagram showing the basic principle of the second embodiment. In the description of the second embodiment, explanations that overlap with the above-mentioned first embodiment may be omitted. In particular, a case in which the value of the formula or a value after conversion thereof is used when evaluating the state of pancreatic cancer is described here as an example, but for example, the concentration value or a value after conversion thereof (e.g., concentration deviation value) of at least one of "the above 24 types of metabolites and the above 19 types of amino acids" may also be used.
[0050] The control unit uses a formula stored in advance in a storage unit, which includes the concentration value of at least one of the 24 metabolites and the 19 amino acids contained in the concentration data of the evaluation target (for example, an individual such as an animal or human) regarding the concentration value of at least one of the 24 metabolites and the 19 amino acids in blood, and a variable into which the concentration value of at least one of the 24 metabolites and the 19 amino acids is substituted, to calculate the value of the formula, thereby evaluating the state of pancreatic cancer for the evaluation target (step S21).This can provide highly reliable information that can be used as a reference for knowing the state of pancreatic cancer.
[0051] The formula used in step S21 may be one created based on the formula creation process (steps 1 to 4) described below. Here, an overview of the formula creation process will be described. Note that the process described here is merely an example, and the formula creation method is not limited to this.
[0052] First, the control unit creates a candidate equation (e.g., y=a1x1+a2x2+···+anxn, y: index data, xi: concentration data, ai: constant, i=1,2,···,n) based on a predetermined equation creation method from index state information (which may be information from which data having missing values or outliers has been removed in advance) that includes concentration data and index data related to indexes that represent the state of pancreatic cancer and that is previously stored in the memory unit (step 1).
[0053] In step 1, multiple candidate formulas may be created from the index state information by using multiple different formula creation methods (including those related to multivariate analysis such as principal component analysis, discriminant analysis, support vector machine, multiple regression analysis, Cox regression analysis, logistic regression analysis, k-means method, cluster analysis, and decision tree). Specifically, multiple candidate formulas for multiple groups may be created simultaneously in parallel using multiple different algorithms for index state information, which is multivariate data composed of concentration data and index data obtained by analyzing blood obtained from a large number of healthy groups and pancreatic cancer groups. For example, two different candidate formulas may be created by simultaneously performing discriminant analysis and logistic regression analysis using different algorithms. In addition, the index state information may be converted using a candidate formula created by performing principal component analysis, and a discriminant analysis may be performed on the converted index state information to create a candidate formula. This allows the creation of a formula optimal for evaluation.
[0054] Here, the candidate formula created using principal component analysis is a linear formula including each variable that maximizes the variance of all concentration data. Also, the candidate formula created using discriminant analysis is a high-order formula (including exponential and logarithmic) including each variable that minimizes the ratio of the sum of variances in each group to the variance of all concentration data. Also, the candidate formula created using support vector machine is a high-order formula (including kernel function) including each variable that maximizes the boundary between groups. Also, the candidate formula created using multiple regression analysis is a high-order formula including each variable that minimizes the sum of distances from all concentration data. Also, the candidate formula created using Cox regression analysis is a linear model including a log hazard ratio, and is a linear formula including each variable and its coefficient that maximizes the likelihood of the model. Also, the candidate formula created using logistic regression analysis is a linear model that represents the log odds of probability, and is a linear formula including each variable that maximizes the likelihood of the probability. The k-means method is a method that searches k neighbors of each concentration data, defines the group to which the most neighboring points belong as the group to which the data belongs, and selects the variable that best matches the defined group to which the input concentration data belongs. Cluster analysis is a method of clustering (grouping) points that are closest to each other among all concentration data. A decision tree is a method of ranking variables and predicting groups of concentration data from the possible patterns of variables with higher rankings.
[0055] Returning to the explanation of the formula creation process, the control unit verifies (cross-validates) the candidate formulas created in step 1 based on a predetermined verification method (step 2). The candidate formulas are verified for each candidate formula created in step 1. In step 2, at least one of the discrimination rate, sensitivity, specificity, information criterion, ROC_AUC (area under the receiver characteristic curve), etc. of the candidate formula may be verified based on at least one of the bootstrap method, hold-out method, N-fold method, leave-one-out method, etc. This makes it possible to create a candidate formula with high predictability or robustness that takes into account index state information and evaluation conditions.
[0056] Here, the discrimination rate is the rate at which the evaluation method according to the present embodiment correctly evaluates evaluation targets whose true state is negative (e.g., evaluation targets not suffering from pancreatic cancer) as negative and correctly evaluates evaluation targets whose true state is positive (e.g., evaluation targets suffering from pancreatic cancer) as positive. The sensitivity is the rate at which the evaluation method according to the present embodiment correctly evaluates evaluation targets whose true state is positive as positive. The specificity is the rate at which the evaluation method according to the present embodiment correctly evaluates evaluation targets whose true state is negative as negative. The Akaike information criterion is a standard that indicates the degree to which observed data matches a statistical model in the case of regression analysis, etc., and the model with the smallest value defined as "-2 x (maximum logarithmic likelihood of statistical model) + 2 x (number of free parameters of statistical model)" is judged to be the best. ROC_AUC is defined as the area under the receiver characteristic curve (ROC), which is a curve created by plotting (x, y) = (1 - specificity, sensitivity) on a two-dimensional coordinate system, and the ROC_AUC value is 1 for perfect discrimination, with the closer this value is to 1 the higher the discrimination ability. Predictability is the average of the discrimination rate, sensitivity, and specificity obtained by repeatedly verifying the candidate formula. Robustness is the variance of the discrimination rate, sensitivity, and specificity obtained by repeatedly verifying the candidate formula.
[0057] Returning to the explanation of the formula creation process, the control unit selects a combination of concentration data included in the index state information used when creating the candidate formula by selecting variables of the candidate formula based on a predetermined variable selection method (step 3). In step 3, variable selection may be performed for each candidate formula created in step 1. This allows the variables of the candidate formula to be appropriately selected. Then, step 1 is executed again using the index state information including the concentration data selected in step 3. In step 3, the variables of the candidate formula may be selected based on at least one of the stepwise method, the best path method, the neighborhood search method, and the genetic algorithm from the verification result in step 2. In addition, the best path method is a method of selecting variables by sequentially reducing the variables included in the candidate formula one by one and optimizing the evaluation index given by the candidate formula.
[0058] Returning to the explanation of the formula creation process, the control unit repeatedly executes the above-mentioned steps 1, 2, and 3, and creates a formula to be used in evaluation by selecting a candidate formula to be used in evaluation from among multiple candidate formulas based on the verification results accumulated thereby (step 4). Note that the selection of the candidate formula may involve, for example, selecting the optimal one from among candidate formulas created using the same formula creation method, or selecting the optimal one from among all candidate formulas.
[0059] As described above, in the formula creation process, the processes related to the creation of candidate formulas, the verification of candidate formulas, and the selection of variables of the candidate formulas are systematized (systemized) in a series of flows and executed based on the index state information, so that the formula optimal for the evaluation of pancreatic cancer can be created. In other words, in the formula creation process, the concentrations of blood substances containing at least one of the above 24 types of metabolites and the above 19 types of amino acids are used in multivariate statistical analysis, and a formula with high evaluation performance is extracted by combining a variable selection method and cross-validation to select an optimal and robust set of variables.
[0060] [2-2. Configuration of the second embodiment] Here, the configuration of the evaluation system according to the second embodiment (hereinafter, sometimes referred to as this system) will be described with reference to Figs. 3 to 14. Note that this system is merely an example, and the present invention is not limited thereto. In particular, a case in which the value of the formula or its converted value is used when evaluating the state of pancreatic cancer is described here as an example, but for example, the concentration value or its converted value (e.g., concentration deviation value) of at least one of "the above 24 types of metabolites and the above 19 types of amino acids" may also be used.
[0061] First, the overall configuration of the present system will be described with reference to Figures 3 and 4. Figure 3 is a diagram showing an example of the overall configuration of the present system. Also, Figure 4 is a diagram showing another example of the overall configuration of the present system. As shown in Figure 3, the present system is configured by connecting, communicatively via a network 300, an evaluation device 100 that evaluates the state of pancreatic cancer in an individual to be evaluated, and a client device 200 (corresponding to a terminal device of the present invention) that provides individual concentration data regarding concentration values of blood substances containing at least one of the above 24 types of metabolites and the above 19 types of amino acids in the blood.
[0062] As shown in FIG. 4, the present system may be configured by connecting, in addition to the evaluation device 100 and the client device 200, a database device 400 storing index state information used when creating a formula in the evaluation device 100 and a formula used in evaluation, etc., so as to be communicatively connected via a network 300. As a result, information useful for knowing the state of pancreatic cancer is provided from the evaluation device 100 to the client device 200 or the database device 400, or from the client device 200 or the database device 400 to the evaluation device 100, via the network 300. Here, the information useful for knowing the state of pancreatic cancer is, for example, information on values measured for specific items related to the state of pancreatic cancer in organisms including humans. Moreover, the information useful for knowing the state of pancreatic cancer is generated by the evaluation device 100, the client device 200, or other devices (for example, various measuring devices, etc.), and is mainly stored in the database device 400.
[0063] Next, the configuration of the evaluation device 100 of this system will be described with reference to Fig. 5 to Fig. 11. Fig. 5 is a block diagram showing an example of the configuration of the evaluation device 100 of this system, and conceptually shows only the parts of the configuration that are related to the present invention.
[0064] The evaluation device 100 is composed of a control unit 102 such as a CPU (Central Processing Unit) that controls the evaluation device in an integrated manner, a communication interface unit 104 that communicatively connects the evaluation device to a network 300 via a communication device such as a router and a wired or wireless communication line such as a dedicated line, a storage unit 106 that stores various databases, tables, files, etc., and an input / output interface unit 108 that connects to an input device 112 and an output device 114, and these units are communicatively connected via any communication path. Here, the evaluation device 100 may be composed in the same housing as various analyzers (e.g., amino acid analyzers, etc.). For example, a small analyzer having a configuration (hardware and software) that calculates (measures) the concentration value of a predetermined blood substance including at least one of the above 24 types of metabolites and the above 19 types of amino acids in blood and outputs the calculated value (prints, displays on a monitor, etc.) may further include an evaluation unit 102d described later, and the result obtained by the evaluation unit 102d is output using the configuration.
[0065] The communication interface unit 104 mediates communication between the evaluation device 100 and the network 300 (or a communication device such as a router). That is, the communication interface unit 104 has a function of communicating data with other terminals via a communication line.
[0066] The input / output interface unit 108 is connected to an input device 112 and an output device 114. Here, the output device 114 may be a monitor (including a home television), a speaker, or a printer (hereinafter, the output device 114 may be referred to as a monitor 114). The input device 112 may be a keyboard, a mouse, a microphone, or a monitor that cooperates with a mouse to realize a pointing device function.
[0067] The memory unit 106 is a storage means, and may be, for example, a memory device such as a RAM (Random Access Memory) or a ROM (Read Only Memory), a fixed disk device such as a hard disk, a flexible disk, an optical disk, etc. The memory unit 106 records computer programs for cooperating with an OS (Operating System) to give instructions to a CPU to perform various processes. As shown in the figure, the memory unit 106 stores a concentration data file 106a, an index state information file 106b, a specified index state information file 106c, a formula related information database 106d, and an evaluation result file 106e.
[0068] The concentration data file 106a stores concentration data on the concentration values of blood substances including at least one of the 24 types of metabolites and the 19 types of amino acids in blood. FIG. 6 is a diagram showing an example of information stored in the concentration data file 106a. As shown in FIG. 6, the information stored in the concentration data file 106a is configured by correlating individual numbers for uniquely identifying the individual (sample) to be evaluated with concentration data. Here, in FIG. 6, the concentration data is treated as a numerical value, i.e., a continuous scale, but the concentration data may be a nominal scale or an ordinal scale. In the case of a nominal scale or an ordinal scale, an arbitrary numerical value may be assigned to each state for analysis. In addition, the concentration data may be combined with values related to other biological information (see above).
[0069] Returning to FIG. 5, the index state information file 106b stores the index state information used when creating the formula. FIG. 7 is a diagram showing an example of information stored in the index state information file 106b. As shown in FIG. 7, the information stored in the index state information file 106b is configured by mutually associating an individual number, index data (T) related to indexes (index T1, index T2, index T3, . . . ) representing the state of pancreatic cancer, and concentration data. Here, in FIG. 7, the index data and concentration data are treated as numerical values (i.e., continuous scale), but the index data and concentration data may be nominal scale or ordinal scale. In the case of a nominal scale or ordinal scale, an arbitrary numerical value may be assigned to each state for analysis. In addition, the index data is a known index that serves as a marker for the state of pancreatic cancer, and numerical data may be used.
[0070] Returning to Fig. 5, the specified index status information file 106c stores index status information specified by the specification unit 102b, which will be described later. Fig. 8 is a diagram showing an example of information stored in the specified index status information file 106c. As shown in Fig. 8, the information stored in the specified index status information file 106c is configured by associating individual numbers, specified index data, and specified concentration data with each other.
[0071] Returning to FIG. 5, the formula-related information database 106d is composed of a formula file 106d1 that stores formulas created by the formula creation unit 102c described later. The formula file 106d1 stores formulas used in evaluation. FIG. 9 is a diagram showing an example of information stored in the formula file 106d1. As shown in FIG. 9, the information stored in the formula file 106d1 is composed of a rank, a formula (Fp(Homo,···), Fp(Homo,GABA,Asn), Fk(Homo,GABA,Asn,···), etc. in FIG. 9), a threshold value corresponding to each formula creation method, and a verification result of each formula (for example, the value of each formula) that are mutually associated with each other. Note that the character "Homo" means Homoarginine.
[0072] Returning to Fig. 5, the evaluation result file 106e stores the evaluation results obtained by the evaluation unit 102d described later. Fig. 10 is a diagram showing an example of information stored in the evaluation result file 106d. The information stored in the evaluation result file 106d is configured by associating an individual number for uniquely identifying an individual (sample) to be evaluated, individual concentration data acquired in advance, and an evaluation result regarding the state of pancreatic cancer (for example, a value of a formula calculated by a calculation unit 102d1 described later, a value obtained by converting the value of a formula by a conversion unit 102d2 described later, position information generated by a generation unit 102d3 described later, or a classification result obtained by a classification unit 102d4 described later, etc.).
[0073] Returning to Fig. 5, the control unit 102 has an internal memory for storing control programs such as an OS, programs that define various processing procedures, required data, etc., and executes various information processing based on these programs. As shown in the figure, the control unit 102 is roughly equipped with a receiving unit 102a, a designating unit 102b, a formula creating unit 102c, an evaluating unit 102d, a result output unit 102e, and a transmitting unit 102f. The control unit 102 also performs data processing such as removing data with missing values, removing data with many outliers, and removing variables with many data with missing values for the index state information transmitted from the database device 400 and the concentration data transmitted from the client device 200.
[0074] The receiving unit 102a receives information (specifically, concentration data, index state information, equations, etc.) transmitted from the client device 200 or the database device 400 via the network 300. The designating unit 102b designates the index data and concentration data to be targeted when creating an equation.
[0075] The equation creation unit 102c creates an equation based on the index state information received by the receiving unit 102a and the index state information designated by the designation unit 102b. When an equation is stored in advance in a predetermined storage area of the storage unit 106, the equation creation unit 102c may create an equation by selecting a desired equation from the storage unit 106. The equation creation unit 102c may also create an equation by selecting a desired equation from another computer device (e.g., database device 400) that has equations stored in advance and downloading the equation.
[0076] The evaluation unit 102d evaluates the state of pancreatic cancer for the individual by calculating the value of the formula using a formula obtained in advance (for example, a formula created by the formula creation unit 102c or a formula received by the receiving unit 102a) and the concentration value of at least one of the 24 types of metabolites and the 19 types of amino acids contained in the concentration data of the individual received by the receiving unit 102a. The evaluation unit 102d may evaluate the state of pancreatic cancer for the individual by using the concentration value of at least one of the 24 types of metabolites and the 19 types of amino acids or a value after conversion of the concentration value (for example, a concentration deviation value).
[0077] Here, the configuration of the evaluation unit 102d will be described with reference to Fig. 11. Fig. 11 is a block diagram showing the configuration of the evaluation unit 102d, and conceptually shows only the parts of the configuration related to the present invention. The evaluation unit 102d further includes a calculation unit 102d1, a conversion unit 102d2, a generation unit 102d3, and a classification unit 102d4.
[0078] The calculation unit 102d1 calculates the value of the formula using a formula including at least one concentration value of the 24 types of metabolites and the 19 types of amino acids, and a variable into which the concentration value of the 24 types of metabolites and the 19 types of amino acids is substituted. The evaluation unit 102d may store the value of the formula calculated by the calculation unit 102d1 in a predetermined storage area of the evaluation result file 106e as the evaluation result.
[0079] The conversion unit 102d2 converts the value of the formula calculated by the calculation unit 102d1, for example, using the conversion method described above. The evaluation unit 102d may store the value converted by the conversion unit 102d2 as the evaluation result in a predetermined storage area of the evaluation result file 106e. The conversion unit 102d2 may also convert at least one concentration value of the 24 types of metabolites and the 19 types of amino acids contained in the concentration data, for example, using the conversion method described above.
[0080] The generating unit 102d3 generates position information on the position of a predetermined mark on a predetermined ruler that is visibly shown on a display device such as a monitor or a physical medium such as paper, using the value of the formula calculated by the calculating unit 102d1 or the value converted by the converting unit 102d2 (which may be a concentration value or a value after the conversion of the concentration value). The evaluating unit 102d may store the position information generated by the generating unit 102d3 in a predetermined storage area of the evaluation result file 106e as an evaluation result.
[0081] The classification unit 102d4 uses the value of the formula calculated by the calculation unit 102d1 or the value after conversion by the conversion unit 102d2 (which may be a concentration value or a value after conversion of the concentration value) to classify the individual into one of a plurality of categories defined taking into consideration at least the degree of possibility of the individual being affected by pancreatic cancer.
[0082] The result output unit 102e outputs to the output device 114 the processing results of each processing unit in the control unit 102 (including the evaluation result obtained by the evaluation unit 102d) and the like.
[0083] The transmission unit 102f transmits the evaluation result to the client device 200 that is the transmission source of the concentration data of the individual, and transmits the formula created by the evaluation device 100 and the evaluation result to the database device 400.
[0084] Next, the configuration of client device 200 of this system will be described with reference to Fig. 12. Fig. 12 is a block diagram showing an example of the configuration of client device 200 of this system, and conceptually shows only the parts of the configuration that are related to the present invention.
[0085] The client device 200 is composed of a control unit 210, a ROM 220, a HD (Hard Disk) 230, a RAM 240, an input device 250, an output device 260, an input / output IF 270, and a communication IF 280, and these units are communicably connected via any communication path. The client device 200 may be based on an information processing device (for example, a known information processing terminal such as a personal computer, a workstation, a home game device, an Internet TV, a PHS (Personal Handyphone System) terminal, a mobile terminal, a mobile communication terminal, a PDA (Personal Digital Assistant), etc.) to which peripheral devices such as a printer, a monitor, an image scanner, etc. are connected as necessary.
[0086] The input device 250 is a keyboard, a mouse, a microphone, etc. A monitor 261, which will be described later, also realizes a pointing device function in cooperation with a mouse. The output device 260 is an output means for outputting information received via the communication IF 280, and includes a monitor (including a home television) 261 and a printer 262. In addition, the output device 260 may be provided with a speaker, etc. The input / output IF 270 is connected to the input device 250 and the output device 260.
[0087] The communication IF 280 communicatively connects the client device 200 and the network 300 (or a communication device such as a router). In other words, the client device 200 is connected to the network 300 via a communication device such as a modem, a TA (Terminal Adapter), or a router and a telephone line, or via a dedicated line. This allows the client device 200 to access the evaluation device 100 in accordance with a predetermined communication protocol.
[0088] The control unit 210 includes a receiving unit 211 and a transmitting unit 212. The receiving unit 211 receives various information such as the evaluation result transmitted from the evaluation device 100 via the communication IF 280. The transmitting unit 212 transmits various information such as the concentration data of the individual to the evaluation device 100 via the communication IF 280.
[0089] The control unit 210 may realize all or any part of the processing performed by the control unit with a CPU and a program that is interpreted and executed by the CPU. A computer program for giving instructions to the CPU in cooperation with the OS and performing various processing is recorded in the ROM 220 or the HD 230. The computer program is executed by being loaded into the RAM 240, and constitutes the control unit 210 in cooperation with the CPU. The computer program may also be recorded in an application program server connected to the client device 200 via any network, and the client device 200 may download all or any part of the computer program as necessary. Also, all or any part of the processing performed by the control unit 210 may be realized by hardware such as wired logic.
[0090] Here, the control unit 210 may include an evaluation unit 210a (including a calculation unit 210a1, a conversion unit 210a2, a generation unit 210a3, and a classification unit 210a4) having the same functions as those of the evaluation unit 102d included in the evaluation device 100. When the control unit 210 includes the evaluation unit 210a, the evaluation unit 210a may convert the value of the formula (which may be a concentration value) in the conversion unit 210a2, generate position information corresponding to the value of the formula or the converted value (which may be a concentration value or a value after the conversion of the concentration value) in the generation unit 210a3, and classify the individual into one of a plurality of categories using the value of the formula or the converted value (which may be a concentration value or a value after the conversion of the concentration value) in the classification unit 210a4, depending on information included in the evaluation result transmitted from the evaluation device 100.
[0091] Next, the network 300 of this system will be described with reference to Figures 3 and 4. The network 300 has a function of connecting the evaluation device 100, the client device 200, and the database device 400 so that they can communicate with each other, and is, for example, the Internet, an intranet, or a LAN (Local Area Network) (including both wired and wireless networks). In addition, network 300 may be a VAN (Value-Added Network), a personal computer communication network, a public telephone network (including both analog and digital), a leased line network (including both analog and digital), a CATV (Community Antenna TeleVision) network, a mobile circuit-switched network or a mobile packet-switched network (including the IMT (International Mobile Telecommunication) 2000 system, the GSM (registered trademark) (Global System for Mobile Communications) system, or the PDC (Personal Digital Cellular) / PDC-P system, etc.), a radio paging network, a local wireless network such as Bluetooth (registered trademark), a PHS network, or a satellite communication network (including CS (Communication Satellite), BS (Broadcasting Satellite), or ISDB (Integrated Services Digital Broadcasting), etc.).
[0092] Next, the configuration of the database device 400 of this system will be described with reference to Fig. 13. Fig. 13 is a block diagram showing an example of the configuration of the database device 400 of this system, and conceptually shows only the parts of the configuration that are related to the present invention.
[0093] The database device 400 has a function of storing index state information used when creating an equation in the evaluation device 100 or the database device itself, an equation created in the evaluation device 100, an evaluation result in the evaluation device 100, etc. As shown in Fig. 13, the database device 400 is composed of a control unit 402 such as a CPU that controls the database device in an overall manner, a communication interface unit 404 that communicatively connects the database device to the network 300 via a communication device such as a router and a wired or wireless communication circuit such as a dedicated line, a storage unit 406 that stores various databases, tables, files (e.g., files for Web pages), etc., and an input / output interface unit 408 that connects to an input device 412 and an output device 414, and these units are communicatively connected via any communication path.
[0094] The memory unit 406 is a storage means, and may be, for example, a memory device such as a RAM or ROM, a fixed disk device such as a hard disk, a flexible disk, an optical disk, or the like. The memory unit 406 stores various programs and the like used for various processes. The communication interface unit 404 mediates communication between the database device 400 and the network 300 (or a communication device such as a router). That is, the communication interface unit 404 has a function of communicating data with other terminals via a communication line. The input / output interface unit 408 is connected to an input device 412 and an output device 414. Here, the output device 414 may be a monitor (including a home television), a speaker, or a printer. The input device 412 may be a keyboard, a mouse, a microphone, or a monitor that cooperates with a mouse to realize a pointing device function.
[0095] The control unit 402 has an internal memory for storing control programs such as an OS, programs defining various processing procedures, required data, etc., and executes various information processing based on these programs. As shown in the figure, the control unit 402 is roughly equipped with a transmission unit 402a and a reception unit 402b. The transmission unit 402a transmits various information such as index state information and equations to the evaluation device 100. The reception unit 402b receives various information such as equations and evaluation results transmitted from the evaluation device 100.
[0096] In this description, an example has been given in which the evaluation device 100 receives concentration data, calculates the value of the formula, classifies the individuals into categories, and transmits the evaluation results, while the client device 200 receives the evaluation results. However, if the client device 200 is equipped with the evaluation unit 210a, it is sufficient for the evaluation device 100 to calculate the value of the formula. For example, the conversion of the value of the formula, the generation of position information, and the classification of the individuals into categories may be appropriately shared between the evaluation device 100 and the client device 200. For example, when the client device 200 receives a value of an equation from the evaluation device 100, the evaluation unit 210a may convert the value of the equation in the conversion unit 210a2, generate position information corresponding to the value of the equation or the converted value in the generation unit 210a3, and classify the individual into one of a plurality of categories using the value of the equation or the converted value in the classification unit 210a4. Furthermore, when the client device 200 receives a converted value from the evaluation device 100, the evaluation unit 210a may generate position information corresponding to the converted value in the generation unit 210a3, or classify the individual into one of a plurality of categories using the converted value in the classification unit 210a4. In addition, when the client device 200 receives the value of the formula or the converted value and location information from the evaluation device 100, the evaluation unit 210a may classify the individual into one of a plurality of categories using the value of the formula or the converted value in the classification unit 210a4.
[0097] [2-3. Other embodiments] The evaluation device, evaluation method, evaluation program, evaluation system, and terminal device of the present invention may be embodied in various different embodiments other than the second embodiment described above, within the scope of the technical idea described in the claims.
[0098] Furthermore, among the various processes described in the second embodiment, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods.
[0099] In addition, the processing procedures, control procedures, specific names, registered data for each process, information including parameters such as search conditions, screen examples, and database configurations shown in the above documents and drawings can be changed as desired unless otherwise specified.
[0100] Moreover, with regard to the evaluation device 100, the components shown in the figures are merely functional concepts, and the evaluation device 100 does not necessarily have to be physically configured as shown in the figures.
[0101] For example, the processing functions of the evaluation device 100, particularly the processing functions performed by the control unit 102, may be realized in whole or in part by a CPU and a program interpreted and executed by the CPU, or may be realized as hardware using wired logic. The program is recorded in a non-transient computer-readable recording medium including programmed instructions for causing an information processing device to execute the evaluation method according to the present invention, and is mechanically read by the evaluation device 100 as necessary. That is, a computer program for giving instructions to the CPU in cooperation with the OS and performing various processes is recorded in the storage unit 106 such as a ROM or HDD (Hard Disk Drive). This computer program is executed by being loaded into a RAM, and cooperates with the CPU to form a control unit.
[0102] In addition, this computer program may be stored in an application program server connected to the evaluation device 100 via any network, and it is also possible to download all or part of it as necessary.
[0103] The evaluation program according to the present invention may be stored in a non-transitory computer-readable recording medium, or may be configured as a program product. Here, the term "recording medium" includes any "portable physical medium" such as a memory card, a Universal Serial Bus (USB) memory, a Secure Digital (SD) card, a flexible disk, a magneto-optical disk, a ROM, an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable and Programmable Read Only Memory (EEPROM) (registered trademark), a Compact Disc Read Only Memory (CD-ROM), a Magneto-Optical disk (MO), a Digital Versatile Disk (DVD), and a Blu-ray (registered trademark) Disc.
[0104] Moreover, a "program" is a data processing method written in any language or description method, and may be in any form, such as source code or binary code. Note that a "program" is not necessarily limited to a single configuration, but also includes a distributed configuration as multiple modules or libraries, and a program that works with a separate program, such as an OS, to achieve its function. Note that the specific configuration and reading procedure for reading a recording medium in each device shown in the embodiments, as well as the installation procedure after reading, may use well-known configurations and procedures.
[0105] The various databases etc. stored in the memory unit 106 are storage means such as memory devices such as RAM and ROM, fixed disk devices such as hard disks, flexible disks, and optical disks, and store various programs, tables, databases, and web page files etc. used for various processes and providing websites.
[0106] The evaluation device 100 may be configured as an information processing device such as a known personal computer or a workstation, or may be configured as the information processing device to which any peripheral device is connected. The evaluation device 100 may be realized by installing software (including a program or data) that causes the information processing device to realize the evaluation method of the present invention.
[0107] Furthermore, the specific form of distribution and integration of the devices is not limited to that shown in the drawings, and all or part of them can be functionally or physically distributed and integrated in any unit according to various additions or functional loads. In other words, the above-mentioned embodiments can be implemented in any combination, or the embodiments can be implemented selectively. EXAMPLES
[0108] Blood metabolite concentrations were measured using the metabolite analysis method (A) described above from plasma samples of pancreatic cancer patients who had been definitively diagnosed with pancreatic cancer (pancreatic cancer group: 40 patients) and healthy individuals (healthy group: 40 patients) with no history of cancer and who were matched with the pancreatic cancer group in terms of gender, age, and BMI (Body Mass Index).
[0109] Using the plasma concentration (nmol / ml) data of 21 types of metabolites (1-Me-His, aABA, Aminoadipic acid, bABA, bAiBA, Cadaverine, Ethylglycine, GABA, Homoarginine, Hypotaurine, Kinurenine, N6-Acetyl-L-Lys, Putrescine, Serotonin, Spermidine, Spermine, ADMA, Homocitrulline, 3-Me-His, Hydroxyproline, Phosphoethanolamine), the discrimination ability of each metabolite between pancreatic cancer and healthy subjects was evaluated using ROC_AUC. Table 1 shows the ROC_AUC, which is an index for evaluating the discrimination ability of each metabolite.
[0110] [Table 1]
[0111] In the test under the non-parametric assumption with the null hypothesis of "ROC_AUC=0.5", the metabolites with significant ROC_AUC (p<0.05) were aminoadipic acid, bABA, bAiBA, GABA, homoarginine, N6-Acetyl-L-Lys, and 3-Me-His. Aminoadipic acid, GABA, homoarginine, N6-Acetyl-L-Lys, and 3-Me-His were significantly decreased in the pancreatic cancer group, while bABA and bAiBA were significantly increased in the pancreatic cancer group. Since the ROC_AUC of the concentrations of these metabolites was significant, they are considered to be useful in evaluating the state of pancreatic cancer while taking into account the healthy state. EXAMPLES
[0112] The sample data obtained in Example 1 was used. A multivariate discriminant (multivariate function) for discriminating between the two groups, the pancreatic cancer group and the healthy group, including variables into which the metabolite concentration values in plasma are substituted, was determined.
[0113] A logistic regression equation was used as a multivariate discriminant. The combination of two variables to be included in the logistic regression equation was explored from 19 amino acids (Asn, His, Thr, Ala, Cit, Arg, Tyr, Val, Met, Lys, Trp, Gly, Pro, Orn, Ile, Leu, Phe, Ser, Gln) and the above 21 metabolites, with at least one of the above 21 metabolites being essential, and a search was conducted for a logistic regression equation with good discrimination ability between pancreatic cancer and healthy groups.
[0114] A list of logistic regression equations with two variables and ROC_AUC values of 0.700 or more for the pancreatic cancer group and the healthy group is shown below in [11.2 Variable Equations]. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. In addition, the following [11.2 Variable Equations] shows the variables and ROC_AUC values included in each equation (same below). EXAMPLES
[0115] The sample data used was the same as that used in Example 1. A multivariate discriminant (multivariate function) for discriminating between the two groups, the pancreatic cancer group and the healthy group, including variables into which metabolite concentrations in plasma are substituted, was determined.
[0116] A logistic regression equation was used as a multivariate discriminant. As in Example 2, a combination of three variables to be included in the logistic regression equation was searched from the above 19 amino acids and the above 21 metabolites, with at least one of the above 21 metabolites being essential, and a search was carried out for a logistic regression equation with good discrimination ability between the pancreatic cancer group and the healthy group.
[0117] A list of logistic regression equations with three variables and ROC_AUC values of 0.869 (maximum ROC_AUC value in Example 2) or more for the pancreatic cancer group and healthy group is shown in [12.3 variable equations] below. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES
[0118] The sample data used was the same as that used in Example 1. A multivariate discriminant (multivariate function) for discriminating between the two groups, the pancreatic cancer group and the healthy group, including variables into which metabolite concentrations in plasma are substituted, was determined.
[0119] A logistic regression equation was used as the multivariate discriminant. Combinations of six variables to be included in the logistic regression equation were explored from the above 19 amino acids and the above 21 metabolites, and a search was conducted for a logistic regression equation with good discriminatory ability between the pancreatic cancer group and the healthy group.
[0120] Among the logistic regression equations obtained above, the occurrence frequency of amino acid variables included in 1590 equations with ROC_AUC of 0.894 (maximum value of ROC_AUC in Example 3) or more was obtained. A list of logistic regression equations is shown in the following [13.6 variable equations], and the occurrence frequency is shown in Table 2. From this, it was shown that the occurrence frequency of Ser, Ala, Cit, Val, Met, Tyr, His, Trp, aminoadipic acid, bABA, bAiBA, Ethylglycine, GABA, Homoarginine, N6-Acetyl-L-Lys, Putrescine, 3-Met-His, and Hydroxyproline was high at 100 or more. In particular, the frequency of occurrence of Ser, His, Cit, Trp, Aminoadipic acid, bABA, bAiBA, Ethylglycine, GABA, N6-Acetyl-L-Lys, Putrescine, and Hydroxyproline was shown to be high, at over 300. Furthermore, the frequency of occurrence of His, bABA, bAiBA, Ethylglycine, and GABA was shown to be high, at over 500.
[0121] [Table 2]
[0122] Among the logistic regression equations obtained above, for example, the discriminant ability of index equation 1 (a multivariate discriminant including His, GABA, bABA, bAiBA, Ethylglycine, and Homoarginine as variables) having the set of variables "His, GABA, bABA, bAiBA, Ethylglycine, and Homoarginine" was good, with ROC_AUC=0.9225, sensitivity=0.875, and specificity=0.750. The above sensitivity and specificity are values when the highest discriminant point at which the average of sensitivity and specificity is highest is set as the cutoff value.
[0123] Here, the formula value was calculated using index formula 1 and the amino acid and metabolite concentration values (μmol / L) of the pancreatic cancer group, and each case of the pancreatic cancer group was classified into one of the multiple categories set as shown below using the calculated formula value and a preset cutoff value. Here, as candidates for the cutoff value, the formula value at a specificity of 80% and the formula value at a specificity of 95% were calculated, and were -0.425 and 2.027, respectively. Note that the sensitivity when these are used as cutoff values is 90% and 48%, respectively.
[0124] The concentration values of the case with the highest formula value were His: 55.8, GABA: 0.099, bABA: 0.294, bAiBA: 4.62, Ethylglycine: 0.448, and Homoarginine: 0.954, and the formula value of this case was 7.22. Here, we defined the relationship "log odds ln(p / (1-p)) = formula value" (p is the probability of cancer), and calculated the odds p / (1-p) from the formula value of 7.22, which was 49020.8. Furthermore, when we calculated the probability p from this odds, it was 1.0.
[0125] The cutoff value was set to the formula value of 2.027 at a specificity of 95%, and the formula value was defined as positive (corresponding to the pancreatic cancer category) when it was higher than the cutoff value, and negative (corresponding to the healthy category) when it was lower than the cutoff value.The case with the formula value of 7.22 was classified as either positive or negative, and since the formula value was higher than the cutoff value, this case was classified as positive.
[0126] In addition, the first cutoff value was set to the formula value of -0.425 when the specificity was 80%, and the second cutoff value was set to the formula value of 2.027 when the specificity was 95%. If the formula value was lower than the first cutoff value, it was defined as rank A (a category meaning that the possibility (probability, risk) of being pancreatic cancer is low), if it was higher than the first cutoff value and lower than the second cutoff value, it was defined as rank B (a category meaning that the possibility of being pancreatic cancer is moderate), and if it was higher than the second cutoff value, it was defined as rank C (a category meaning that the possibility of being pancreatic cancer is high).When the case with the formula value of 7.22 was classified into one of the three ranks, this case was classified into rank C because the formula value was higher than the second cutoff value. EXAMPLES
[0127] In this Example 5, from the blood samples used in Example 1, plasma from 24 healthy subjects and plasma from 24 pancreatic cancer patients were used, and in addition to the blood metabolite concentrations of Example 1, the peak area values of N-methyl-β-aminobutyric acid (N-Me-bABA), acylcarnitine (AC) (13:1), and cis-5,8,11,14,17-eicosapentaenoic acid (EPA) in the blood were measured by the above-mentioned metabolite analysis method (A) and used as concentration values.
[0128] Using the concentration (peak area) data of three types of metabolites (N-Me-bABA, AC(13:1), EPA), the discrimination ability of each metabolite between pancreatic cancer and healthy subjects was evaluated using ROC_AUC. Table 3 shows the ROC_AUC value, which is an index for evaluating the discrimination ability of each metabolite.
[0129] [Table 3]
[0130] In the test under the non-parametric assumption with the null hypothesis of "ROC_AUC=0.5", the metabolites with a significant ROC_AUC (p<0.05) were N-Me-bABA and AC(13:1). AC(13:1) was significantly decreased in the pancreatic cancer group, and N-Me-bABA was significantly increased in the pancreatic cancer group. Since the concentration values of these metabolites had a significant ROC_AUC, they are considered to be useful in evaluating the state of pancreatic cancer while taking into account the healthy state. EXAMPLES
[0131] The sample data used was the same as that used in Example 5. A multivariate discriminant (multivariate function) for discriminating between the two groups, the pancreatic cancer group and the healthy group, including variables into which the metabolite concentration values in plasma are substituted, was determined.
[0132] A logistic regression equation was used as a multivariate discriminant. The combination of two variables to be included in the logistic regression equation was required to be either N-Me-bABA, AC(13:1), or EPA. A search was conducted from the above 19 types of amino acids and the above 21 types of metabolites to find a logistic regression equation with good discrimination ability between pancreatic cancer and healthy groups.
[0133] A list of logistic regression equations (combinations of variables) with two variables and with ROC_AUC values of 0.9792 (maximum value of ROC_AUC in Example 5) or more for the pancreatic cancer group and the healthy group is shown in [14.2 variable equations] below. These logistic regression equations are considered to be useful in the above evaluation because they have high ROC_AUC values. EXAMPLES
[0134] The sample data used in Example 5 was used. A multivariate discriminant (multivariate function) for discriminating between the two groups, the pancreatic cancer group and the healthy group, including variables into which the metabolite concentration values or peak area values in plasma were substituted was determined.
[0135] A logistic regression equation was used as the multivariate discriminant. The logistic regression equation, which has six amino acids, Ser, Ala, Ile, His, Trp, and Asn, as variables and has a ROC_AUC value of 0.9288 for the pancreatic cancer group and the healthy group, was searched for a combination of one or two variables to be added from the above 21 types and the above three types of metabolites, and a search was conducted for a logistic regression equation with good discrimination ability between the pancreatic cancer group and the healthy group.
[0136] In the search for one added variable, metabolites added to the logistic regression equation with ROC_AUC values of 0.9288 or more for the pancreatic cancer group and the healthy group are shown in [15.1 Added variables] below. In the search for two added variables, metabolites added to the logistic regression equation with ROC_AUC values of 0.9288 or more for the pancreatic cancer group and the healthy group are shown in [16.2 Added variables] below. These logistic regression equations are considered to be useful in the above evaluation because of their high ROC_AUC values. [Industrial Applicability]
[0137] As described above, the present invention can be widely implemented in many industrial fields, particularly in the fields of pharmaceuticals, food, and medicine, and is particularly useful in the field of bioinformatics, which performs predicting the progression of pancreatic cancer, predicting disease risk, and performing proteome and metabolome analysis. [Explanation of symbols]
[0138] 100 Evaluation Device 102 Control section 102a Receiving section 102b Specified part 102c Expression Creation Section 102d Evaluation Section 102d1 Calculation part 102d2 Converter 102d3 Generation part 102d4 Classification section 102e Result output section 102f Transmitter 104 Communication interface section 106 Storage section 106a Concentration data file 106b Index status information file 106c Specified index status information file 106d type related information database 106d1 Formula File 106e Evaluation result file 108 Input / Output Interface Section 112 Input Devices 114 Output Device 200 Client device (terminal device (information communication terminal device)) 300 Network 400 Database device
[0139] [11.2-variable equations] His,bAiBA,0.8694;His,Homocitrulline,0.8606;His,Ethylglycine,0.8588;His,Putrescine,0.8588;His,GABA,0.8531;His,ADMA,0.8506;His,N6-Acetyl-L-Lys,0.8494;His,Cadaverine,0.8494;His,Homoarginine,0.8494;His,Serotonin,0.8475;His,Phosphoetanolamine,0.8475;His,bABA,0.8469;His,Spermine,0.8469;His,Hydroxyproline,0.8469;His,Spermidine,0.8456;His,3-Me-His,0.8456;His,Hypotaurine,0.8450;His,1-Me-His,0.8450;His,Kynurenine,0.8444;His,aABA,0.8438;His,Aminoadipic acid,0.8394;Trp,GABA,0.8294;Trp,Ethylglycine,0.8081;Trp,bABA,0.8056;Trp,N6-Acetyl-L-Lys,0.8050;Tyr,bAiBA,0.7994;Trp,bAiBA,0.7981;Cit,bABA,0.7975;Trp,Putrescine,0.7938;Trp,Hydroxyproline,0.7906;Trp,Cadaverine,0.7863;Trp,ADMA,0.7838;Trp,Aminoadipic acid,0.7838;Met,bAiBA,0.7831;Trp,Kynurenine,0.7831;Trp,Phosphoetanolamine,0.7819;Trp,Homoarginine,0.7819;Trp,Spermine,0.7806;Trp,1-Me-His,0.7800;Trp,Hypotaurine,0.7794;Trp,Homocitrulline,0.7794;Trp,Spermidine,0.7788;Trp,Serotonin,0.7775;Val,GABA,0.7769;Trp,3-Me-His,0.7763;Trp,aABA,0.7756;Cit,Aminoadipic acid,0.7713;Tyr,GABA,0.7675;Cit,Homoarginine,0.7600;Cit,Hydroxyproline,0.7600;Met,GABA,0.7588; Cit,N6-Acetyl-L-Lys,0.7581;Cit,GABA,0.7531;Cit,bAiBA,0.7519;Cit,3-Me-His,0.7519;Tyr,Aminoadipic acid,0.7500;Val,bABA,0.7494;Gly,Aminoadipic acid,0.7488;Cit,Kynurenine,0.7463;Tyr,N6-Acetyl-L-Lys,0.7456;Gly,GABA,0.7444;Ser ,GABA,0.7444;Cit,Phosphoetanolamine,0.7431;Leu,GABA,0.7425;Ile,GABA,0.7419;Cit,S erotonin,0.7419;Lys,GABA,0.7413;Tyr,bABA,0.7413;Cit,Homocitrulline,0.7406;Cit,Spermine,0.7394;Cit,Cadaverine,0.7proline;Cit,EthylH06ydrone,0.7394; .7350;Cit,Spermidine,0.7344;Pro,GABA,0.7338;Tyr,ADMA,0.7338;Cit,aABA,0.7338;Gln, GABA,0.7331;Ser,N6-Acetyl-L-Lys,0.7331;Tyr,Putrescine,0.7325;Orn,GABA,0.7325;Arg ,GABA,0.7325;Cit,Putrescine,0.7319;Cit,ADMA,0.7319;Asn,GABA,0.7313;Cit,1-Me-His, 0.7313;Tyr,3-Me-His,0.7306;Thr,GABA,0.7300;Cit,Hypotaurine,0.7300;Ile,Aminoadipic acid,0.7294;Ile,N6-Acetyl-L-Lys,0.7288;Ala,GABA,0.7281;Met,N6-Acetyl-L-Lys,0.7281;Tyr,Ethylglycine,0.7275; Methionine, Aminoadipic acid, 0.7275; Phenylalanine, GABA, 0.7269; Methionine, Ethylglycine, 0.7263; Glutamine, N6-Acetyl-L-Lysine, 0.7256; Valine, N6-Acetyl-L-Lysine, 0.7250; Valine, b-Aminobutyric acid, 0.7238; Methionine, Putrescine, 0.7219; Methionine, Asymmetric dimethylarginine, 0.7194; Methionine, Hydroxyproline, 0.7194; Glycine, N6-Acetyl-L-Lysine, 0.7169; Valine, Putrescine, 0.7144; Methionine, b-Aminobutyric acid, 0.7144; Asparagine, N6-Acetyl-L-Lysine, 0.7131; Leucine, N6-Acetyl-L-Lysine, 0.7125; Glycine, Homoarginine, 0.7119; Threonine, N6-Acetyl-L-Lysine, 0.7100; Proline, N6-Acetyl-L-Lysine, 0.7100; Ornithine, N6-Acetyl-L-Lysine, 0.7081; Serine, b-Aminobutyric acid, 0.7063; Tyrosine, Homoarginine, 0.7063; Alanine, N6-Acetyl-L-Lysine, 0.7063; Tyrosine, Spermine, 0.7050; Methionine, Cadaverine, 0.7050; Methionine, Homocitrulline, 0.7044; Lysine, N6-Acetyl-L-Lysine, 0.7044; Tyrosine, Spermidine, 0.7006; Tyrosine, Cadaverine, 0.7000; Valine, Hydroxyproline, 0.7000; Phenylalanine, Ethylglycine, 0.7000.
[0140] [Equation of 12.3 variables] His, bABA, GABA, 0.8944; His, bAiBA, Ethylglycine, 0.8875; His, bAiBA, GABA, 0.8831; His, Ethylglycine, GABA, 0.8813; His, Putrescine, Spermidine, 0.8800; His, bAiBA, Putrescine, 0.8781; His, bABA, Ethylglycine, 0.8781; His, bABA, bAiBA, 0.8775; His, bAiBA, Hydroxyproline, 0.8763; His, Cadaverine, Ethylglycine, 0.8756; His, Ethylglycine, Putrescine, 0.8756; His, Ethylglycine, N6-Acetyl-L-Lys, 0.8750; His, bAiBA, N6-Acetyl-L-Lys, 0.8744; His, 1-Me-His, bAiBA, 0.8738; His, bAiBA, Homocitrulline, 0.8738; Trp, bABA, GABA, 0.8731; His, Homoarginine, Putrescine, 0.8725; His, Putrescine, Homocitrulline, 0.8719; His, bAiBA, Spermidine, 0.8719; His, Ethylglycine, ADMA, 0.8719; His, bAiBA, Spermine, 0.8713; His, bAiBA, ADMA, 0.8713; His, aABA, bAiBA, 0.8706; His, bAiBA, Cadaverine, 0.8706; His, bAiBA, Serotonin, 0.8700
[0141] [Equation of 13.6 variables] His,Aminoadipic acid,bABA,GABA,3-Me-His,Hydroxyproline,0.9288;His,Aminoadipic acid,bABA,bAiBA,Ethylglycine,GABA,0.9281;Ser,His,bABA,Ethylglycine,GABA,Homoarginine,0.9275;His,Aminoadipic acid,bABA,Ethylglycine,GABA,Homoarginine,0.9256;Ser,His,bABA,bAiBA,Ethylglycine,GABA,0.9250;His,Cit,bABA,bAiBA,Ethylglycine,GABA,0.9250;His,Aminoadipic acid,bABA,bAiBA,Ethylglycine,GABA,0.9250; acid,bABA,Ethylglycine,GABA,Hydroxyproline,0.9250;His,Cit,bABA,Ethylglycine,GABA,Hydroxyproline,0.9250;His,Cit,bABA,bAiBA,GABA,Putrescine,0.9244;His,Aminoadipic acid,bABA,Ethylglycine,GABA,3-Me-His,0.9244;His,Aminoadipic acid,bABA,bAiBA,GABA,Hydroxyproline,0.9244;His,bABA,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9244;Ser,His,bABA,bAiBA,GABA,Homoarginine,0.9238;Ser,His,bABA,Ethylglycine,GABA,3-Me-His,0.9238;Ser,His,bABA,Ethylglycine,GABA,3-Me-His,0.9238;Ser,His, acid,bABA,Ethylglycine,GABA,0.9238;His,Cit,Val,bABA,bAiBA,GABA,0.9231;His,Val,bABA,bAiBA,Ethylglycine,GABA,0.9231;His,Cit,bABA,bAiBA,GABA,Hydroxyproline,0.9231;His,Cit,Aminoadipic acid,bABA,bAiBA,GABA,0.9231;His,bABA,bAiBA,GABA,Putrescine,Hydroxyproline,0.9231;Ser,His,Ala,bABA,Ethylglycine,GABA,0.9231;His,Ala,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9231;His,Cit,Trp,bABA,bAiBA,GABA,0.9225;His,bABA,bAiBA,Ethylglycine,GABA,Homoarginine,0.9225;Ser,His,bABA,bAiBA,GABA,Hydroxyproline,0.9219;His,Cit,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.9219;His,Cit,bABA,bAiBA,GABA,Homoarginine,0.9219;His,Cit,Trp,bABA,Ethylglycine,GABA,0.9219;His,Val,bABA,Ethylglycine,GABA,0.9219 ine,GABA,Putrescine,0.9219;His,Trp,bABA,bAiBA,Ethylglycine,GABA,0.9219;His,bABA,Ethylglycine,GABA,3-Me-His,Hydroxyproline,0.9219;His,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9219;Ser,His,Cit,bABA,GABA,Homoarginine,0.9219;Ser,His,Val,bABA,bAiBA,GABA,0.9213;His,Ala,Trp,bABA,Ethylglycine,GABA,0.9213;His,Cit,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9213;His,Aminoadipic acid,bABA,bAiBA,GABA,Homoarginine,0.9213;His,Aminoadipic acid,bABA,Ethylglycine,GABA,Putrescine,0.9213;Ser,His,Trp,bABA,Ethylglycine,GABA,0.92139213;His,Cit,Aminoadipic acid,bABA,GABA,3-Me-His,0.9206;His,bABA,bAiBA,Ethylglycine,GABA,Putrescine,0.9206;Ser,His,Met,bABA,bAiBA,GABA,0.9206;His,Cit,bABA,bAiBA,Ethylglycine,Putrescine,0.9206;His,Val,bABA,bAiBA,GABA,Hydroxyproline,0.9206;His,Met,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9206;Ser,His,Aminoadipic acid,bABA,bAiBA,GABA,0.9200;His,Tyr,bABA,bAiBA,Ethylglycine,GABA,0.9200;Ser,His,Aminoadipic acid,bABA,GABA,3-Me-His,0.9200;His,Val,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9200;His,Trp,bABA,Ethylglycine,GABA,Hydroxyproline,0.9200;His,Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9200;His,Aminoadipic acid,bABA,bAiBA,GABA,Putrescine,0.9200;His,bABA,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9200;Ser,His,bABA,bAiBA,GABA,Putrescine,0.9194;Ser,His,Aminoadipic acid,bABA,GABA,Homoarginine,0.9194;His,Tyr,Trp,bABA,Ethylglycine,GABA,0.9194;His,Val,Trp,bABA,Ethylglycine,GA BA,0.9194;His,Ala,bABA,Ethylglycine,GABA,Hydroxyproline,0.9194;His,Trp,bABA,Ethylglycine,GABA,Homoarginine,0.9194;His,Aminoadipic acid,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9194;His,bABA,Ethylglycine,GABA,Putrescine,Hydroxyproline,0.9194;His,Cit,bABA,bAiBA,GABA,3-Me-His,0.9188;His,Cit,Met,bABA,bAiBA,GABA,0.9188;His,Cit,Tyr,bABA,bAiBA,GABA,0.9188;Ser,His,bABA,Ethylglycine,GABA,Putrescine,0.9188;Ser,His,bABA,GABA,3-Me-His,Hydroxyproline,0.9188;His,Met,bABA,bAiBA,Ethylglycine,GABA,0.9188;His,Cit,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9188;His,Met,bABA,bAiBA,Ethylglycine,GABA,0.9188; acid,bABA,GABA,Putrescine,0.9188;His,Tyr,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9188;His,Val,bABA,bAiBA,GABA,Homoarginine,0.9181;His,Met,Trp,bABA,Ethylglycine,GABA,0.9181;Hi s,Trp,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9181;Ser,His,bABA,Ethylglycine,GABA,Hydroxyproline,0.9181;His,Cit,Aminoadipic acid,bABA,GABA,N6-Acetyl-L-Lys,0.9181;His,Trp,bABA,Ethylglycine,GABA,3-Me-His,0.9181;His,Aminoadipic acid,bABA,GABA,Homoarginine,Hydroxyproline,0.9181;Ser,His,Tyr,bABA,Ethylglycine,GABA,0.9175;His,Ala,Trp,bABA,GABA,Hydroxyproline,0.9175;His,Cit,Trp,bAiBA,Ethylglycine,Putrescine,0.9175;9175;His,Cit,Tyr,Aminoadipic acid,bABA,GABA,0.9175;His,Val,Aminoadipic acid,bABA,bAiBA,GABA,0.9175;His,Met,Aminoadipic acid,bABA,GABA,3-Me-His,0.9175;His,Trp,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9175;His,Trp,bABA,GABA,Homoarginine,Hydroxyproline,0.9175;His,Trp,bABA,Ethylglycine,GABA,Putrescine,0.9175;His,Trp,bABA,bAiBA,GABA,Putrescine,0.9175;His,Aminoadipic acid,bABA,bAiBA,GABA,3-Me-His,0.9175;His,Cit,Val,Aminoadipic acid,bABA,bAiBA,GABA,3-Me-His,0.9175;His,Cit,Val,Aminoadipic acid,bABA,bAiBA,GABA,3-Me-His,0.9175 acid,bABA,GABA,0.9175;His,Trp,Aminoadipic acid,bABA,bAiBA,GABA,0.9175;His,Cit,Aminoadipic acid,bABA,GABA,Homoarginine,0.9175;His,Cit,bABA,Ethylglycine,GABA,3-Me-His,0.9169;His,Cit,bABA,Ethylglycine,GABA,Homoarginine,0.9169;His,Met,bABA,bAiBA,GABA,Hydroxyproline,0.9169;His,Aminoadipic acid,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9169;His,bABA,bAiBA,Ethylglycine,GABA,3-Me-His,0.9169;Ser,His,Met,bABA,Ethylglycine,GABA,0.9169;His,Ala,Aminoadipic acid,bABA,bAiBA,GABA,0.9169;His,Cit,bABA,Ethylglycine,GABA,Putrescine,0.9169;His,Cit,Val,bABA,Ethylglycine,GABA,0.9169;His,Trp,bABA,bAiBA,Ethylglycine,Putrescine,0.9169;His,Aminoadipic acid,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.9169;His,bABA,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9169;Ser,His,Ala,bABA,bAiBA,GABA,0.9163;Ser,His,Tyr,bABA,bAiBA,GABA,0.9163;Ser,His,Met,bABA,GABA,Homoarginine,0.9163;Ser,His,Met,bAiBA,Ethylglycine,Putrescine,0.9163;Ser,His,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.9163;Ser,His,bABA,bAiBA,GABA,3-Me-His,0.9163;Ser,His,bABA,GABA,Homoarginine,Hydroxyproline,0.9163;His,Ala,Aminoadipic acid,bABA,GABA,3-Me-His,0.9163;His,Val,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.9163;His,Val,Aminoadipic acid,bABA,GABA,Hydroxyproline,0.9163;His,Trp,bAiBA,Ethylglycine,GABA,Putrescine,0.9163;His,Trp,Aminoadipic acid acid,bABA,GABA,3-Me-His,0.9163;His,bABA,bAiBA,GABA,3-Me-His,Hydroxyproline,0.9163;Ser,His,Val,bABA,Ethylglycine,GABA,0.9163;Ser,His,Trp,bABA,bAiBA,GABA,0.9163;Ser,His,Trp,bABA,GABA,Homoarginine,0.9163;Ser,His,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9163;His,Met,Aminoadipic acid,bABA,bAiBA,GABA,0.9163;His,Trp,bABA,bAiBA,GABA,Hydroxyproline,0.9163;Ser,His,bABA,GABA,Homoarginine,Putrescine,0.9156;His,Ala,bABA,bAiBA,Ethylglycine,GABA,0.9156;His,Ala,Cit,bABA,bAiBA,GABA,0.9156;His,Cit,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,0.9156;His,Cit,Trp,Aminoadipic acid,bABA,GABA,0.9156;His,Cit,Tyr,bABA,Ethylglycine,GABA,0.9156;His,Val,bABA,bAiBA,GABA,3-Me-His,0.9156;His,Aminoadipic acid,bAiBA,GABA,0.9156 acid,bABA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9156;His,bABA,bAiBA,GABA,Homoarginine,Putrescine,0.9156;His,Cit,Aminoadipic acid,bABA,GABA,Hydroxyproline,0.9156;His,Tyr,Aminoadipic acid,bABA,bAiBA,GABA,0.9156;His,Tyr,Val,bABA,Ethylglycine,GABA,0.9156;His,Val,bABA,Ethylglycine,GABA,3-Me-His,0.9156;His,Val,Trp,bABA,bAiBA,GABA,0.9156;His,Aminoadipic acid,bABA,bAiBA,GABA,0.9156 acid,bABA,GABA,Putrescine,Hydroxyproline,0.9156;His,bABA,Ethylglycine,GABA,Homoarginine,Hydroxyproline,0.9156;His,bABA,bAiBA,GABA,Homoarginine,Hydroxyproline,0.9156;His,Aminoadipic acid,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9150;Ser,His,Cit,bABA,bAiBA,GABA,0.9150;His,Ala,Aminoadipic acid,bABA,GABA,Hydroxyproline,0.9150;His,Ala,Cit,Aminoadipic acid,bABA,GABA,0.9150;His,Tyr,bABA,bAiBA,GABA,Putrescine,0.9150;His,Tyr,Aminoadipic acid,bABA,GABA,3-Me-His,0.9150;His,Val,bABA,bAiBA,GABA,Putrescine,0.9150;His,Val,Aminoadipic acid,bABA,GABA,3-Me-His,0.9150;His,Val,Met,bABA,bAiBA,GABA,0.9150;His,Met,bABA,bAiBA,GABA,Putrescine,0.9150;His,Met,Aminoadipic acid,bABA,GABA,3-Me-His,0.9150;His,Met,bABA,bAiBA,GABA,Putrescine,0.9150;His,Met,Aminoadipic acid,bABA,GABA,3-Me-His,0.9150;His,Met,Aminoadipic acid acid,bABA,GABA,Hydroxyproline,0.9150;His,Trp,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9150;His,Aminoadipic acid,bABA,GABA,Putrescine,3-Me-His,0.9150;His,Ala,bABA,GABA,3-Me-His,Hydroxyproline,0.9150;His,Ala,bABA,Ethylglycine,GABA,Putrescine,0.9150;His,Cit,bABA,Ethylglycine ylglycine,GABA,N6-Acetyl-L-Lys,0.9150;His,Cit,Met,bABA,Ethylglycine,GABA,0.9150;His,Tyr,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9150;His,Aminoadipic acid,bABA,GABA,Homoarginine,3-Me-His,,0.9150;His,Aminoadipic acid,bABA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9150;His,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.9150.9150;His,Ala,Val,bABA,bAiBA,GABA,0.9144;His,Cit,Tyr,bAiBA,Ethylglycine,Putrescine,0.9144;His,Cit,bABA,GABA,3-Me-His,Hydroxyproline,0.9144;His,Tyr,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9144;His,Trp,bABA,GABA,3-Me-His,Hydroxyproline,0.9144;His,bABA,bAiBA,GABA,Putrescine,3-Me-His,0.9144;Ser,His,Tyr,bABA,GABA,Homoarginine,0.9144;His,Cit,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9144;His,Cit,Met,Aminoadipic acid,bABA,GABA,0.9144;His,Tyr,bABA,Ethylglycine,GABA,Hydroxyproline,0.9144;His,Tyr,bABA,Ethylglycine,GABA,Putrescine,0.9144;His,Tyr,bABA,bAiBA,GABA,Hydroxyproline,0.9144;His,Tyr,Aminoadipic acid,bABA,GABA,Hydroxyproline,0.9144;His,Met,bABA,Ethylglycine,GABA,Hydroxyproline,0.9144;His,Met,Aminoadipic acid,bABA,GABA,Homoarginine,0.9144;His,Trp,Aminoadipic acid,bABA,GABA,Homoarginine,0.9144;His,bABA,Ethylglycine,GABA,Putrescine,3-Me-His,0.9144;Ser,His,Trp,bAiBA,Ethylglycine,Putrescine,0.9144;His,Cit,Trp,bABA,GABA,N6-Acetyl-L-Lys,0.9144;Ser,His,Cit,bAiBA,Ethylglycine,Putrescine,0.9138;Ser,His,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9138;His,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,Putrescine,0.9138;His,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,Putrescine,0.9138;Ser,His,Cit,bABA,Ethylglycine,GABA,0.9138;Ser,His,Trp,bAiBA,Ethylglycine,GABA,0.9138;His,Ala,bABA,bAiBA,GABA,Hydroxyproline,0.9138;His,Ala,Trp,bAiBA,Ethylglycine,GABA,0.9138;His,Ala,Tyr,bABA,Ethylglycine,GABA,0.9138;His,Cit,Trp,bABA,GABA,Homoarginine,0.9138;His,Val,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9138;His,Val,bABA,Ethylglycine,GABA,Homoarginine,0.9138;His,Trp,bABA,GABA,Putrescine,Hydroxyproline,0.9138;His,bABA,GABA,Putrescine,3-Me-His,Hydroxyproline,0.9138;Ser,His,Cit,Aminoadipic acid,bABA,GABA,0.9138;His,Ala,Aminoadipic acid,bABA,GABA,Homoarginine,0.9138;His,Ala,Cit,bABA,Ethylglycine,GABA,0.9138;His,Ala,Cit,Trp,bABA,GABA,0.9138;His,Cit,bABA,GABA,Putrescine,Hydroxyproline,0.9138;His,Tyr,bABA,Ethylglycine,GABA,3-Me-His,0.9138;His,Val,bABA,Ethylglycine,GABA,Hydroxyproline,0.9138;His,Val,Aminoadipic acid,bABA,GABA,Homoarginine,0.9138;His,Trp,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.9138;His,Trp,bABA,bAiBA,GABA,Homoarginine,0.9138;His,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9138;Ser,His,Tyr,bAiBA,Ethylglycine,Putrescine,0.9131;Ser,His,bAiBA,Ethylglycine,GABA,Homoarginine,0.9131;His,Cit,bAiBA,Ethylglyci. and,GABA,Putrescine,0.9131;His,Tyr,bABA,bAiBA,GABA,Homoarginine,0.9131;His,Met,Trp,Aminoadipic acid,bABA,GABA,0.9131;His,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,Putrescine,0.9131;Ser,His,C it,bABA,bAiBA,Putrescine,0.9131;Ser,His,Val,bABA,GABA,Homoarginine,0.9131;Ser,His,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,0.9131;Ser,His,bABA,bAiBA,Ethylglycine,Putrescine,0.9131;His,Cit,bABA,G ABA,Homoarginine,Hydroxyproline,0.9131;His,Cit,Met,bAiBA,Ethylglycine,Putrescine,0.9131;His,Tyro,Aminoadipic acid, bABA, GABA, Homoarginine, 0.9131; His, Tyr, Trp, bAiBA, Ethylglycine, Putrescine, 0.9131; ,GABA,N6-Acetyl-L-Lys,0.9131;His,Trp,bAiBA,Ethylglycine,Putrescine,3-Me-His,0.9131;His,Trp,Aminoadipic acid,bABA,GABA,Hydroxyproline,0.9131;His,Aminoadipic acid,bABA,GABA,Homoarginine,Putrescine,0.9131;Ser,His,Aminoadipic acid acid, bABA, GABA, Hydroxyproline, 0.9131; His, Cit, Trp, bABA, GABA, Putrescine, 0.9131; His, Val, bAiBA, Ethylglycine, GABA, Hydroxyproline, 0.9125;9125;His,Val,Trp,Aminoadipic acid,bABA,GABA,0.9125;His,bAiBA,Ethylglycine,GABA,Putrescine,Hydroxyproline,0.9125;His,Tyr,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.9125;His,Met,bABA,Ethylglycine,GABA,Putrescine,0.9125;Ser,His,Ala,bABA,GABA,Homoarginine,0.9125;Ser,His,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9125;Ser,His,bABA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9125;Ser,His,bABA,GABA,Homoarginine,3-Me-His,0.9125;His,Ala,bABA,Ethylglycine,GABA,3-Me-His,0.9125;His,Ala,Met,bABA,Ethylglycine,GABA,0.9125;His,Cit,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9125;His,Tyr,bABA,bAiBA,Ethylglycine,Putrescine,0.9125;His,Met,Trp,bAiBA,Ethylglycine,Putrescine,0.9125;His,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9125;His,bABA,Ethylglycine,GABA,Homoarginine,Putrescine,0.9125;Ser,His,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9119;His,Tyr,bAiBA,Ethylglycine,GABA,Putrescine,0.9119;His,Tyr,Val,bABA,bAiBA,GABA,0.9119;His,Trp,bAiBA,GABA,Putrescine,Hydroxyproline,0.9119;Ser,His,Val,Aminoadipic acid,bABA,GABA,0.9119;Ser,His,Val,bAiBA,Ethylglycine,Putrescine,0.9119;His,Ala,bABA,Ethylglycine,GABA,Homoarginine,0.9119;His,Ala,bABA,bAiBA,GABA,Putrescine,0.9119;His,Ala,Val,bABA,Ethylglycine,GABA,0.9119;His,Cit,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9119;His,Cit,Val,bAiBA,Ethylglycine,Putrescine,0.9119;His,Tyr,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9119;His,Tyr,Trp,bABA,bAiBA,GABA,0.9119;His,Val,Met,bABA,Ethylglycine,GABA,0.9119;His,bABA,Ethylglycine,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9119;His,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.9119;Cit,Trp,bABA,bAiBA,Ethylglycine,GABA,0.9119;Ser,His,Trp,Aminoadipic acid,bABA,GABA,0.9119;Ser,His,bABA,bAiBA,Ethylglycine,Homoarginine,0.9119;Ser,His,bABA,bAiBA,Ethylglycine,Hydroxyproline,0.9119;His,Met,bABA,Ethylglycine,GABA,3-Me-His,0.9119;His,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9119;His,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.9119;Ser,His,Trp,bABA,GABA,3-Me-His,0.9119;His,Cit,Tyr,bABA,GABA,Hydroxyproline,0.9119;His,Trp,bABA,bAiBA,GABA,3-Me-His,0.9119;Ser,His,Val,bAiBA,Ethylglycine,GABA,0.9113;His,Cit,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9113;His,Cit,Trp,bAiBA,Ethylglycine,GABA,0.9113;His,Met,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9113;Ser,His,Cit,bABA,bAiBA,Ethylglycine,0.9113;Ser,His,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9113;His,Ala,Trp,Aminoadipic acid,bABA,GABA,0.9113;His,Cit,bAiBA,Ethylglycine,Putrescine,3-Me-His,0.9113;His,Tyr,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,0.9113;His,Tyr,Trp,bABA,GABA,Hydroxyproline,0.9113;His,Met,bABA,bAiBA,GABA,Homoarginine,0.9113;Ser,His,Ala,Aminoadipic acid,bABA,GABA,0.9113;His,Ala,Trp,bAiBA,Ethylglycine,Putrescine,0.9113;His,Cit,bAiBA,Ethylglycine,Homoarginine,Putrescine,0.9113;His,Cit,bABA,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.9113;His,Tyr,bABA,GABA,3-Me-His,Hydroxyproline,0.9113;His,Tyr,Aminoadipic acid,bABA,GABA,Putrescine,0.9113;His,Val,bABA,GABA,3-Me-His,Hydroxyproline,0.9113;His,Val,Trp,Ethylglycine,GABA,Putrescine,0.9113;His,Met,bABA,GABA,3-Me-His,Hydroxyproline,0.9113; His,Met,bABA,Ethylglycine,GABA,Homoarginine,0.9113;His,Cit,Met,Trp,bABA,GABA,0.9113;His,Ala,Tyr,bAiBA,Ethylglycine,Putrescine,0.9106;His,Cit,Aminoadipic acid,bAiBA,Ethylglycine,GABA,0.9106;His,Ala,Aminoadipic acid,bABA,GABA,Putrescine,0.9106;His,Ala,Tyr,Aminoadipic acid,bABA,GABA,0.9106;His,Ala,Cit,bAiBA,Ethylglycine,Putrescine,0.9106;His,Tyr,Aminoadipic acid,bABA,GABA,N6-Acetyl-L-Lys,0.9106;His,Val,Trp,bAiBA,Ethylglycine,Putrescine,0.9106;His,Trp,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9106;His,Trp,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,0.9106;His,Trp,Aminoadipic acid,bABA,GABA,N6-Acetyl-L-Lys,0.9106;His,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9106;Trp,Aminoadipic acid acid,bABA,bAiBA,GABA,Hydroxyproline,0.9106;Ser,His,Ala,Trp,bABA,GABA,0.9106;Ser,His,Trp,bAiBA,GABA,Hydroxyproline,0.9106;Ser,His,Aminoadipic acid,bABA,bAiBA,Ethylglycine,0.9106;His,Ala,bABA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9106;His,Cit,bABA,bAiBA,Ethylglycine,Homoarginine,0.9106;His,Tyr,bAB A,Ethylglycine,GABA,Homoarginine,0.9106;His,Tyr,Met,bABA,Ethylglycine,GABA,0.9106;His,Met,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9106;His,Trp,Aminoadipic acid,Ethylglycine,GABA,3-Me-His,0.9106;Ser,His,Cit,bABA,GABA,3-Me-His,0.9106;Ser,His,Aminoadipic acid,bAiBA,Ethylglycine,GABA,0.9100;His,Ala,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.9100;His,Ala,Met,bABA,bAiBA,GABA,0.9100;His,Met,Aminoadipic acid,bAiBA,Ethylglycine,GABA,0.9100;His,Aminoadipic acid,bAiBA,Ethylglycine,GABA,Putrescine,0.9100;Ser,His,Cit,bAiBA,Ethylglycine,GABA,0.9100;His,Ala,Cit,Trp,Ethylglycine,Putrescine,0.9100;His,Cit,bABA,bAiBA,Putrescine,Hydroxyproline,0.9100;His,Cit,Trp,bABA,GABA,Hydroxyproline,0.9100;His,Tyr,Trp,Aminoadipic acid,bAiBA,Ethylglycine,GABA,Putrescine,Hydroxyproline,0.9100 acid,bABA,GABA,0.9100;His,Trp,Aminoadipic acid,bAiBA,Ethylglycine,GABA,0.9100;His,Trp,Aminoadipic acid, bABA, GABA, Putrescine, 0.9100; His, bABA, bAiBA, GABA, N6-Acetyl-L-Lys, 3-Me-His, 0.9100; acid,bABA,GABA,0.9100;Ser,His,Trp,Ethylglycine,GABA,Homoarginine,0.9100;Ser,His,Aminoadipic acid,bABA,GABA,N6-Acetyl-L-Lys,0.9100;Ser,His,bAiBA,Ethylglycine,Homoarginine,Putrescine,0.9100;His,Ala,bABA,Eth ylglycine,GABA,N6-Acetyl-L-Lys,0.9100;His,Cit,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9100;His,Cit,Aminoadipic acid, bABA, bAiBA, Ethylglycine, 0.9100; His, Cit, Trp, bABA, GABA, 3-Me-His, 0.9100; acid,bABA,GABA,0.9100;His,Val,Met,Aminoadipic acid,bABA,GABA,0.9100;His,Met,Aminoadipic acid acid, bABA, GABA, N6-Acetyl-L-Lys, 0.9100;His, Met, Trp, bABA, GABA, Hydroxyproline, 0.9100; line, 0.9100;His,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.9100;His,bABA,Ethylglycine,GABA,Homoarginine,3-Me-His,09100;His,Met,Trp,bABA,bAiBA,GABA,0.9100;His,Tyr,bABA,bAiBA,Putrescine,Hydroxyproline,0.9094;His,bAiBA,Ethylglycine,GABA,3-Me-His,Hydroxyproline,0.9094;His,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9094;Ser,His,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9094;His,Ala,Aminoadipic acid,bABA,GABA,N6-Acetyl-L-Lys,0.9094;His,Ala,Val,Aminoadipic acid,bABA,GABA,0.9094;His,Ala,Cit,bABA,Ethylglycine,Putrescine,0.9094;His,Cit,bABA,Ethylglycine,Homoarginine,Putrescine,0.9094;His,Tyr,bAiBA,Ethylglycine,Putrescine,3-Me-His,0.9094;His,Val,Aminoadipic acid,bABA,GABA,Putrescine,0.9094;His,Val,Aminoadipic acid,bABA,GABA,N6-Acetyl-L-Lys,0.9094;His,Met,bABA,bAiBA,GABA,3-Me-His,0.9094;His,Trp,bAiBA,Ethylglycine,GABA,Homoarginine,0.9094;His,Aminoadipic acid,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9094;His,bAiBA,Ethylglycine,GABA,Putrescine,3-Me-His,0.9094;Ser,His,Ala,bABA,GABA,Hydroxyproline,0.9094;Ser,His,Met,bABA,bAiBA,Ethylglycine,0.9094;Ser,His,bABA,bAiBA,Putrescine,Hydroxyproline,0.9094;Ser,His,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.9094;His,Ala,bABA,GABA,Putrescine,Hydroxyproline,0.9094;His,Ala,Trp,bABA,GABA,Putrescine,0.9094;His,Cit,bABA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9094;His,Cit,Met,bABA,bAiBA,Ethylglycine,0.9094;His,Val,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9094;His,Met,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9094;His,Aminoadipic acid,bABA,bAiBA,Ethylglycine,Putrescine,0.9094;His,bABA,bAiBA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.9094;His,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.9094;Ser,His,Ala,Cit,bABA,GABA,0.9094;Ser,His,Ala,Trp,Ethylglycine,GABA,0.9094;His,Ala,Trp,bABA,bAiBA,GABA,0.9094;His,Ala,Cit,Val,bABA,GABA,0.9094;His,Cit,Val,Trp,bABA,GABA,0.9094;Ser,His,Ala,bAiBA,Ethylglycine,GABA,0.9088;His,Cit,Trp,bAiBA,GABA,Hydroxyproline,0.9088;His,Trp,Aminoadipic acid,bAiBA,GABA,Hydroxyproline,0.9088;Ser,His,Cit,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9088;His,Ala,Trp,Ethylglycine,Homoarginine,Putrescine,0.9088;His,Ala,Tyro,bABA,bAiBA,GABA,0 9088;His,Cit,Trp,bAiBA,GABA,Putrescine,0.9088;His,Tyr,bAiBA,Ethylglycine,Homoarginine,Putrescine scine,0.9088;His,Tyro,Met,bAiBA,Ethylglycine,Putrescine,0.9088;His,Val,bAiBA,Ethylglycine,GA BA,N6-Acetyl-L-Lys,0.9088;His,Met,bAiBA,Ethylglycine,GABA,Putrescine,0.9088;His,Aminoadipic acid,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,0.9088;Ser,His,Tyro,bABA,bAiBA,Ethylglycine,0.9088;Ser,His,bAiBA,Ethylglycine,Put rescine,3-Me-His,0.9088;His,Ala,bABA,GABA,Homoarginine,Hydroxyproline,0.9088;His,Cit,bABA,GABA,Homoarginine,Putrescine,0.9 088;His,Cit,Val,Trp,bAiBA,Ethylglycine,0.9088;His,Tyro,Met,bABA,bAiBA,GABA,0.9088;His,Val,bABA,bAiBA,Ethylglycine,Putrescin e, 0.9088; His, Val, Trp, bABA, GABA, Hydroxyproline, 0.9088; acid,bABA,GABA,Putrescine,0.9088;Cit,Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9088;Met,Aminoadipic acid,bABA,bAiBA,Ethylglycine,GABA,09088;Trp,Aminoadipic acid,bABA,bAiBA,Ethylglycine,GABA,0.9088;His,Ala,Aminoadipic acid,bAiBA,Ethylglycine,GABA,0.9081;His,Val,bAiBA,Ethylglycine,GABA,Putrescine,0.9081;His,Aminoadipic acid,bAiBA,GABA,Putrescine,Hydroxyproline,0.9081;Ser,His,Trp,Ethylglycine,GABA,3-Me-His,0.9081;Ser,His,bAiBA,Ethylglycine,GABA,3-Me-His,0.9081;His,Ala,Met,Aminoadipic acid,bABA,GABA,0.9081;His,Tyr,Met,Aminoadipic acid,bABA,GABA,0.9081;His,Tyr,Val,bA. iBA,Ethylglycine,Putrescine,0.9081;His,Val,Trp,Ethylglycine,GABA,Hydroxyproline,0.9081;His,Met,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9081;His,Met,Aminoadipic acid,bAiBA,GABA,Hydroxyproline,0.9081;Ser,His,Ala,bAiBA,Ethylglycine,Putrescine,0.9081;Ser,His,Met,bABA,bAiBA,Putrescine,0.9081;Ser,His,bABA,GABA,Putrescine,Hydroxyproline,0.9081;His,Ala,bABA,bAiBA,GABA,Homoarginine,0.9081;His,Ala,Met,bABA,GABA,Hydroxyproline,0.9081;His,Cit,Trp,bAiBA,Ethylglycine,Homoarginine,0.9081;His,Cit,Tyr,bABA,GABA,N6-Acetyl-L-Lys,0.9081;His,Cit,Tyr,Trp,bABA,GABA,0.9081;His,Trp,bABA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9081;His,Aminoadipic acid,bABA,bAiBA,Ethylglycine,Hydroxyproline,0.9081;Ser,His,Ala,bABA,Ethylglycine,Putrescine,0.9081;Ser,His,Cit,Trp,bAiBA,Ethylglycine,0.9081;Ser,His,Cit,bABA,Ethylglycine,Homoarginine,0.9081;Ser,His,Trp,bABA,GABA,Putrescine,0.9081;His,Ala,Trp,Ethylglycine,GABA,3-Me-His,0.9081;His,Ala,Cit,bABA,GABA,Hydroxyproline,0.9081;His,Cit,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,0.9081;His,Cit,Trp,bABA,bAiBA,Ethylglycine,0.9081;His,Cit,Met,bABA,GABA,Hydroxyproline,0.9081;His,Tyr,bABA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9081;His,Met,bABA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9081;His,Trp,Ethylglycine,GABA,3-Me-His,Hydroxyproline,0.9081;His,bABA,bAiBA,Ethylglycine,Putrescine,3-Me-His,0.9081;His,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9081;His,Cit,Val,bAiBA,Ethylglycine,GABA,0.9075;His,Val,Aminoadipic acid,bAiBA,Ethylglycine,GABA,0.9075;His,Val,Met,bAiBA,Ethylglycine,GABA,0.9075;His,bAiBA,Ethylglycine,GABA,Homoarginine,Hydroxyproline,0.9075;His,Ala,bAiBA,Ethylglycine,GABA,Putrescine,0.9075;His,Cit,Tyr,bABA,bAiBA,Ethylglycine,0.9075;His,Tyr,Trp,bAiBA,Ethylglycine,GABA,0.9075;His,bABA,bAiBA,GABA,Homoarginine,3-Me-His,0.9075;Ser,His,Cit,Trp,bABA,GABA,0.9075;Ser,His,Met,bAiBA,Ethylglycine,Hydroxyproline,0.9075;Ser,His,Trp,bABA,GABA,Hydroxyproline,0.9075;His,Cit,bABA,bAiBA,Ethylglycine,3-Me-His,0.9075;His,Cit,Aminoadipic acid,bABA,bAiBA,Putrescine,0.9075;His,Cit,Trp,Ethylglycine,Homoarginine,Putrescine,0.9075;His,Cit,Met,bABA,GABA,Putrescine,0.9075;His,Trp,bAiBA,GABA,3-Me-His,Hydroxyproline,0.9075;His,Trp,bAiBA,Ethylglycine,GABA,3-Me-His,0.9075;His,Trp,bABA,GABA,Homoarginine,Putrescine,0.9075;His,bABA,GABA,Homoarginine,3-Me-His,Hydroxyproline,0.9075;His,bABA,GABA,Homoarginine,Putrescine,Hydroxyproline,0.9075;Trp,bABA,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9075;Ser,His,Val,Trp,Ethylglycine,GABA,0.9075;Ser,His,Aminoadipic acid,bABA,GABA,Putrescine,0.9075;His,Aminoadipic acid,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9075;His,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.9075;His,Cit,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9069;His,Tyr,Aminoadipic acid,bAiBA,Ethylglycine,GABA,0.9069;Cit,Val,bABA,bAiBA,Ethylglycine,GABA,0.9069;Ser,His,Cit,bABA,Ethylglycine,Putrescine,0.9069;Ser,His,Tyr,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9069;Ser,His,Met,bAiBA,Ethylglycine,GABA,0.9069;Ser,His,Trp,bABA,bAiBA,Ethylglycine,0.9069;Ser,His,Trp,bAiBA,GABA,N6-Acetyl-L-Lys,0.9069;Ser,His,bABA,Ethylglycine,Homoarginine,Putrescine,0.9069;His,Ala,Tyr,bABA,GABA,Hyd roxyproline,0.9069;His,Cit,bABA,GABA,Putrescine,3-Me-His,0.9069;His,Cit,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9069;His,Cit,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9069;His,Cit,Met,bABA,GABA,N6-Acetyl-L-Lys,0.9069;His,Cit,Val,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9069;His,Tyr,bABA,bAiBA ,GABA,3-Me-His,0.9069;His,Val,Trp,bAiBA,Ethylglycine,GABA,0.9069;His,Met,Trp,bAiBA,Ethylglycine,GABA,0.9069;Ala,Cit,Trp,bABA,Ethylglycine,GABA,0.9069;Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,Homoarginine,0.9069;Ser,His,Cit,Tyr,bABA,GABA,0.9069;Ser,His,Cit,bABA,GABA,Putrescine,0.9069;Ser,His,Cit,bABA,GABA,Hydroxyproline,0.9069;Ser,His,Tyr,Aminoadipic acid,bABA,GABA,0.9069;Ser,His,Val,Trp,bABA,GABA,0.9069;Ser,His,Val,bABA,bAiBA,Ethylglycine,0.9069;Ser,His,Val,bAiBA,Ethylglycine,Homoarginine,0.9069;Ser,His,Met,Trp,bABA,GABA,0.9069;Ser,His,Met,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9069;Ser,His,Trp,bAiBA,GABA,Putrescine,0.9069;Ser,His,bABA,bAiBA,Ethylglycine,3-Me-His ,0.9069;Ser,Met,bABA,bAiBA,Ethylglycine,GABA,0.9069;His,Cit,Met,bABA,GABA,Homoarginine,0.9069; t,Val,bABA,GABA,Hydroxyproline,0.9069;His,Cit,Val,bABA,GABA,Homoarginine,0.9069; BA, GABA, 0.9069; His, Val, bABA, GABA, Homoarginine, Hydroxyproline, 0.9069; acid,bABA,bAiBA,Ethylglycine,GABA,0.9069;His,Val,bAiBA,Ethylglycine,GABA,Homoarginine,0.9063;Ser,His,Aminoadipic acid, Ethylglycine, GABA, Homoarginine, 0.9063; His, Ala, bAiBA, Ethylglycine, GABA, N6-Acetyl-L-Lys, 0.9063; iBA,Ethylglycine,GABA,3-Me-His,0.9063;His,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9063;9063;Ser,His,Trp,bAiBA,Ethylglycine,Homoarginine,0.9063;Ser,His,bABA,Ethylglycine,Putrescine,Hydroxyproline,0.9063;Ser,His,bABA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9063;Ser,His,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.9063;His,Ala,bABA,bAiBA,GABA,3-Me-His,0.9063;His,Ala,Cit,bABA,GABA,N6-Acetyl-L-Lys,0.9063;His,Cit,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.9063;His,Cit,bABA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9063;His,Cit,Trp,bABA,Ethylglycine,Putrescine,0.9063;His,Met,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,0.9063;His,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,3-Me-His,0.9063;His,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9063;His,bAiBA,Ethylglycine,Putrescine,3-Me-His,Hydroxyproline,0.9063;Ser,His,Trp,bABA,GABA,N6-Acetyl-L-Lys,0.9063;Ser,His,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9063;Ser,His,Trp,bAiBA,Ethylglycine,3-Me-His,0.9063;Ser,His,bABA,bAiBA,Homoarginine,Hydroxyproline,0.9063;His,Cit,Val,bABA,GABA,N6-Acetyl-L-Lys,0.9063;His,Met,bABA,GABA,Putrescine,Hydroxyproline,0.9063;Ser,His,Cit,Val,bABA,GABA,0.9063;His,Cit,bABA,GABA,Homoarginine,3-Me-His,0.9063;His,Cit,bAiBA,Ethylglycine,GABA,Homoarginine,0.9056;His,Trp,bAiBA,GABA,Homoarginine,Hydroxyproline,0.9056;Ser,His,Cit,Trp,bAiBA,GABA,0.9056;Ser,His,bABA,Ethylglycine,Putrescine,3-Me-His,0.9056;His,Ala,bAiBA,Ethylglycine,Putrescine,Hydroxyproline,0.9056;His,Ala,Trp,Ethylglycine,GABA,Putrescine,0.9056;His,Cit,bABA,bAiBA,Ethylglycine,Hydroxyproline,0.9056;His,Cit,Aminoadipic acid,bABA,Ethylglycine,Putrescine,0.9056;His,Cit,Trp,bAiBA,Ethylglycine,Hydroxyproline,0.9056;His,Cit,Tyr,bABA,GABA,Putrescine,0.9056;His,Met,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.9056;His,Trp,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9056;His,Trp,Aminoadipic acid,Ethylglycine,GABA,Homoarginine,0.9056;His,bABA,bAiBA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9056;Val,Met,bABA,bAiBA,Ethylglycine,GABA,0.9056;Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,3-Me-His,0.9056;Ser,His,Cit,bABA,GABA,N6-Acetyl-L-Lys,0.9056;Ser,His,Tyr,Trp,bABA,GABA,0.9056;Ser,His,Tyr,bABA,bAiBA,Putrescine,0.9056;Ser,His,Tyr,bABA,GABA,3-Me-His,0.9056;Ser,His,Val,bABA,GABA,3-Me-His,0.9056;Ser,His,Val,bABA,GABA,Hydroxyproline,0.9056;His,Ala,Met,Trp,bABA,GABA,0.9056;His,Ala,Tyr,Trp,bABA,GABA,0.9056;His,Ala,Cit,bABA,GABA,Putrescine,0.9056;His,Cit,bABA,bAiBA,Homoarginine,Putrescine,0.9056;His,Cit,Trp,bAiBA,Ethylglycine,3-Me-His,0.9056;His,Cit,Val,bABA,GABA,Putrescine,0.9056;His,Tyr,bABA,GABA,Homoarginine,Hydroxyproline,0.9056;His,Tyr,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9056;His,Tyr,Trp,bAiBA,Putrescine,Hydroxyproline,0.9056;His,Tyr,Trp,bAiBA,GABA,Hydroxyproline,0.9056;His,Tyr,Met,bABA,GABA,Hydroxyproline,0.9056;His,Val,bABA,bAiBA,Ethylglycine,Hydroxyproline,0.9056;His,Val,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,0.9056;His,Trp,Ethylglycine,GABA,Homoarginine,Putrescine,0.9056;His,Trp,bABA,GABA,Putrescine,3-Me-His,0.9056;His,Trp,bABA,bAiBA,Ethylglycine,Hydroxyproline,0.9056;His,Trp,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9056;His,bABA,bAiBA,Ethylglycine,Homoarginine,Putrescine,0.9056;His,Ala,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9050;His,Ala,Cit,bAiBA,Ethylglycine,GABA,0.9050;His,Aminoadipic acid,bAiBA,Ethylglycine,GABA,3-Me-His,0.9050;His,Aminoadipic acid,bAiBA,Ethylglycine,GABA,Homoarginine,0.9050;Ser,His,Tyr,bABA,GABA,Hydroxyproline,0.9050;Ser,His,Val,Met,bAiBA,Ethylglycine,0.9050;Ser,His,Trp,bAiBA,Ethylglycine,Hydroxyproline,0.9050;Ser,His,Trp,Ethylglycine,Homoarginine,Putrescine,0.9050;Ser,His,bAiBA,Ethylglycine,Homoarginine,Hydroxyproline,0.9050;His,Ala,bABA,bAiBA,Ethylglycine,Putrescine,0.9050;His,Ala,Cit,Trp,bAiBA,GABA,0.9050;His,Ala,Cit,Trp,bAiBA,Ethylglycine,0.9050;His,Cit,Tyr,bABA,bAiBA,Putrescine,0.9050;His,Tyr,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9050;His,Met,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9050;His,Met,Trp,bAiBA,GABA,Hydroxyproline,0.9050;His,Trp,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,0.9050;His,Trp,Aminoadipic acid,bAiBA,GABA,Putrescine,0.9050;Ser,His,Ala,Met,bABA,GABA,0.9050;Ser,His,Cit,Met,bABA,GABA,0.9050;Ser,His,Val,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9050;Ser,His,Aminoadipic acid,bAiBA,Ethylglycine,Homoarginine,0.9050;Ser,His,bABA,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.9050;Ser,His,Ethylglycine,GABA,Homoarginine,3-Me-His,0.9050;His,Ala,bABA,bAiBA,Ethylglycine,Hydroxyproline,0.9050;His,Ala,Trp,bABA,GABA,3-Me-His,0.9050;His,Ala,Trp,bABA,GABA,N6-Acetyl-L-Lys,0.9050;His,Cit,bABA,bAiBA,Putrescine,3-Me-His,0.9050;Ala,Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9050;Met,Trp,bABA,bAiBA,Ethylglycine,GABA,0.9050;Ser,His,Ala,Val,bABA,GABA,0.9050;Ser,His,Cit,Met,bABA,bAiBA,0.9050;Ser,His,Met,Aminoadipic acid,bAiBA,Ethylglycine,0.9050;His,Tyr,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9050;His,Met,Trp,Aminoadipic acid,Ethylglycine,GABA,0.9050;His,bABA,GABA,Homoarginine,N6-Acetyl-L-Lys,Hydroxyproline,0.9050;His,Tyr,bAiBA,GABA,Putrescine,Hydroxyproline,0.9044;His,Ala,Aminoadipic acid,bAiBA,GABA,Hydroxyproline,0.9044;His,Ala,Met,bAiBA,Ethylglycine,GABA,0.9044;His,Cit,Met,bAiBA,Ethylglycine,GABA,0.9044;His,Tyr,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.9044;Met,Aminoadipic acid,bABA,bAiBA,GABA,Hydroxyproline,0.9044;Ser,His,Tyr,bABA,Ethylglycine,Putrescine,0.9044;Ser,His,Met,bABA,Ethylglycine,Putrescine,0.9044;H. is,Cit,Trp,bAiBA,GABA,N6-Acetyl-L-Lys,0.9044;His,Tyr,bABA,bAiBA,Ethylglycine,Hydroxyproline,0.9044;His,Val,Trp,bAiBA,GABA,Hydroxyproline,0.9044;His,Met,bAiBA,Ethylglycine,Putrescine,3-Me-His,0.9044;His,Aminoadipic acid,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9044;Ser,His,Ala,bABA,bAiBA,Ethylglycine,0.9044;Ser,His,Ala,bABA,GABA,3-Me-His,0.9044;Ser,His,Cit,Trp,bAiBA,Putrescine,0.9044;Ser,His,Met,bABA,GABA,3-Me-His,0.9044;Ser,His,Met,bABA,GABA,Hydroxyproline,0.9044;Ser,His,Aminoadipic acid,bAiBA,Ethylglycine,Hydroxyproline,0.9044;Ser,His,bAiBA,Ethylglycine,3-Me-His,Hydroxyproline,0.9044;Ser,His,Ethylglycine,GABA,Putrescine,3-Me-His,0.9044;His,Ala,Aminoadipic acid,bAiBA,Ethylglycine,Putrescine,0.9044;His,Ala,Trp,bABA,GABA,Homoarginine,0.9044;His,Ala,Cit,bABA,bAiBA,Putrescine,0.9044;His,Cit,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9044;His,Cit,Trp,bAiBA,GABA,Homoarginine,0.9044;His,Cit,Val,bABA,bAiBA,Putrescine,0.9044;His,Cit,Tyr,Trp,bAiBA,Ethylglycine,0.9044;His,Tyr,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.9044;His,Tyr,Trp,bABA,GABA,Putrescine,0.9044;His,Tyr,Val,bABA,GABA,Putrescine,0.9044;His,Val,bABA,GABA,Putrescine,Hydroxyproline,0.9044;His,Val,bABA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9044;His,Met,Trp,bABA,GABA,Putrescine,0.9044;His,Trp,Ethylglycine,GABA,Homoarginine,Hydroxyproline,0.9044;His,Trp,bABA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9044;His,Aminoadipic acid,bABA,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.9044;His,bABA,bAiBA,Ethylglycine,3-Me-His,Hydroxyproline,0.9044;His,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,3-Me-His,0.9044;Cit,Trp,Aminoadipic acid,bABA,bAiBA,GABA,0.9044;Ser,His,bABA,GABA,Putrescine,3-Me-His,0.9044;His,Met,bABA,GABA,Homoarginine,Hydroxyproline,0.9044;His,bAiBA,Ethylglycine,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9038;Ser,His,Ala,Trp,Ethylglycine,Putrescine,0.9038;Ser,His,Cit,bAiBA,Ethylglycine,Homoarginine,0.9038;Ser,His,Trp,bABA,Ethylglycine,Putrescine,0.9038;Ser,His,Ethylglycine,GABA,Homoarginine,Putrescine,0.9038;His,Ala,Val,bABA,GABA,Hydroxyproline,0.9038;His,Ala,Cit,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9038;His,Cit,Trp,Aminoadipic acid,bAiBA,GABA,0.9038;His,Cit,Met,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9038;His,Val,bAiBA,Ethylglycine,Homoarginine,Putrescine,0.9038;His,Val,Trp,bABA,GABA,N6-Acetyl-L-Lys,0.9038;His,Val,Met,bAiBA,Ethylglycine,Putrescine,0.9038;His,Met,bAiBA,GABA,Putrescine,Hydroxyproline,0.9038;Ser,His,Cit,Met,bAiBA,Ethylglycine,0.9038;Ser,His,Trp,Aminoadipic acid,Ethylglycine,GABA,0.9038;His,Ala,Trp,bABA,Ethylglycine,Putrescine,0.9038;His,Ala,Cit,Tyr,bABA,GABA,0.9038;His,Cit,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,3-Me-His,0.9038;His,Cit,Met,Trp,bAiBA,Ethylglycine,0.9038;His,Cit,Tyr,Met,bABA,GABA,0.9038;His,Met,Trp,bAiBA,GABA,Putrescine,0.9038;His,Trp,bAiBA,GABA,N6-Acetyl-L-Lys,Putrescine,0.9038;Ser,His,Ala,Cit,bAiBA,Ethylglycine,0.9038;Ser,His,Tyr,Trp,bAiBA,Ethylglycine,0.9038;Ser,His,Tyr,Aminoadipic acid,bAiBA,Ethylglycine,0.9038;Ser,His,Aminoadipic acid,bABA,Ethylglycine,3-Me-His,0.9038;Ser,His,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9038;Ser,His,Ethylglycine,GABA,3-Me-His,Hydroxyproline,0.9038;His,Ala,Cit,bABA,GABA,3-Me-His,0.9038;His,Cit,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9038;His,Cit,Val,bABA,GABA,3-Me-His,0.9038;His,Cit,Val,Met,bABA,GABA,0.9038;His,Cit,Tyr,bABA,GABA,3-Me-His,0.9038;His,Cit,Tyr,bABA,GABA,Homoarginine,0.9038;His,Tyr,Trp,bABA,GABA,N6-Acetyl-L-Lys,0.9038;His,Met,bABA,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.9038;Met,Trp,Aminoadipic acid,bABA,bAiBA,GABA,0.9038;Ser,His,Ala,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9031;His,Ala,Trp,Ethylglycine,Putrescine,Hydroxyproline,0.9031;His,Cit,Aminoadipic acid,bAiBA,GABA,Homoarginine,0.9031;His,Val,Aminoadipic acid,bAiBA,GABA,Hydroxyproline,0.9031;His,Val,Trp,Aminoadipic acid,Ethylglycine,GABA,0.9031;His,Aminoadipic acid,Ethylglycine,GABA,3-Me-His,Hydroxyproline,0.9031;His,Aminoadipic acid,bAiBA,GABA,Homoarginine,Hydroxyproline,0.9031;Ala,Trp,bABA,bAiBA,GABA,Hydroxyproline,0.9031;Trp,bABA,bAiBA,GABA,Putrescine,Hydroxyproline,0.9031;Ser,His,Ala,Aminoadipic acid,bAiBA,Ethylglycine,0.9031;Ser,His,Cit,Val,bAiBA,Ethylglycine,0.9031;Ser,His,Cit,Aminoadipic acid,bAiBA,Ethylglycine,0.9031;Ser,His,Tyr,Trp,Ethylglycine,GABA,0.9031;Ser,His,Val,bABA,Ethylglycine,Putrescine,0.9031;Ser,His,Met,bABA,bAiBA,Hydroxyproline,0.9031;Ser,His,Met,bAiBA,Ethylglycine,Homoarginine,0.9031;Ser,His,bABA,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.9031;Ser,His,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.9031;Ser,Cit,Trp,bABA,Ethylglycine,GABA,0.9031;His,Ala,Met,bAiBA,Ethylglycine,Putrescine,0.9031;His,Ala,Cit,bABA,bAiBA,Ethylglycine,0.9031;His,Cit,bABA,Ethylglycine,Putrescine,3-Me-His,0.9031;His,Cit,Trp,bAiBA,Putrescine,Hydroxyproline,0.9031;His,Cit,Trp,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.9031;His,Cit,Tyr,Trp,bAiBA,GABA,0.9031;His,Tyr,Aminoadipic acid,bABA,bAiBA,Ethylglycine,0.9031;His,Tyr,Trp,bAiBA,Ethylglycine,Hydroxyproline,0.9031;His,Tyr,Trp,bABA,GABA,Homoarginine,0.9031;His,Tyr,Met,Trp,bABA,GABA,0.9031;His,Val,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.9031;His,Val,bABA,GABA,Homoarginine,3-Me-His,0.9031;His,Met,bABA,bAiBA,Ethylglycine,Hydroxyproline,0.9031;His,Met,Trp,bAiBA,Ethylglycine,Hydroxyproline,0.9031;His,Met,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9031;His,Trp,bABA,GABA,Homoarginine,3-Me-His,0.9031;His,Trp,Aminoadipic acid,bAiBA,GABA,N6-Acetyl-L-Lys,0.9031;His,Aminoadipic acid,bABA,bAiBA,Ethylglycine,3-Me-His,0.9031;His,bABA,bAiBA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.9031;His,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,Hydroxyproline,0.9031;His,Ethylglycine,GABA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.9031;Ser,His,Cit,Ethylglycine,GABA,Homoarginine,0.9031;Ser,His,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.9031;His,Tyr,Met,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9031;His,Val,Trp,bABA,GABA,Homoarginine,0.9031;His,Trp,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.9031;His,Cit,bAiBA,Ethylglycine,GABA,3-Me-His,0.9025;Ser,His,Tyr,bAiBA,Putrescine,Hydroxyproline,0.9025;Ser,Met,Aminoadipic acid,bABA,bAiBA,GABA,0.9025;His,Ala,Trp,Ethylglycine,GABA,Homoarginine,0.9025;His,Val,bAiBA,Ethylglycine,Putrescine,3-Me-His,0.9025;His,Val,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9025;His,Met,Trp,Ethylglycine,Homoarginine,Putrescine,0.9025;His,Aminoadipic acid,bAiBA,GABA,3-Me-His,Hydroxyproline,0.9025;His,bAiBA,Ethylglycine,Homoarginine,Putrescine,3-Me-His,0.9025;Trp,bABA,bAiBA,Ethylglycine,GABA,Putrescine,0.9025;Ser,His,Trp,Aminoadipic acid,bAiBA,Ethylglycine,0.9025;Ser,His,Trp,bAiBA,GABA,Homoarginine,0.9025;Ser,His,Aminoadipic acid,bAiBA,GABA,Hydroxyproline,0.9025;Ser,His,bABA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9025;His,Ala,bAiBA,Ethylglycine,Homoarginine,Putrescine,0.9025;His,Ala,Trp,Ethylglycine,GABA,Hydroxyproline,0.9025;His,Ala,Trp,bAiBA,GABA,Putrescine,0.9025;His,Ala,Val,Trp,bABA,GABA,0.9025;His,Cit,Val,Trp,Ethylglycine,GABA,0.9025;His,Tyr,bAiBA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.9025;His,Val,Trp,bABA,GABA,Putrescine,0.9025;His,bAiBA,Ethylglycine,Homoarginine,Putrescine,Hydroxyproline,0.9025;Tyr,Aminoadipic acid,bABA,bAiBA,Ethylglycine,GABA,0.9025;Trp,bABA,bAiBA,GABA,3-Me-His,Hydroxyproline,0.9025;Trp,bABA,bAiBA,Ethylglycine,GABA,3-Me-His,0.9025;Ser,His,Ala,Val,bABA,Ethylglycine,0.9025;Ser,His,Ala,Met,bAiBA,Ethylglycine,0.9025;Ser,His,Ala,bABA,GABA,Putrescine,0.9025;Ser,His,Cit,bABA,bAiBA,N6-Acetyl-L-Lys,0.9025;Ser,His,Cit,bABA,bAiBA,Hydroxyproline,0.9025;Ser,His,Val,Trp,bAiBA,Ethylglycine,0.9025;Ser,His,Val,Trp,bAiBA,GABA,0.9025;Ser,His,Val,bABA,Ethylglycine,Hydroxyproline,0.9025;Ser,His,Val,bAiBA,Ethylglycine,3-Me-His,0.9025;Ser,His,Met,Trp,bAiBA,Ethylglycine,0.9025;Ser,His,Met,Trp,bAiBA,GABA,0.9025;Ser,His,Met,Trp,Ethylglycine,GABA,0.9025;Ser,His,Trp,Ethylglycine,GABA,Hydroxyproline,0.9025;His,Ala,bABA,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.9025;His,Ala,Val,bABA,GABA,3-Me-His,0.9025;His,Ala,Val,bABA,GABA,N6-Acetyl-L-Lys,0.9025;His,Ala,Cit,bABA,GABA,Homoarginine,0.9025;His,Cit,bABA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9025;His,Cit,Trp,bABA,bAiBA,Putrescine,0.9025;His,Cit,Trp,Aminoadipic acid,bAiBA,Ethylglycine,0.9025;His,Tyr,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.9025;His,Tyr,Aminoadipic acid,bABA,bAiBA,Putrescine,0.9025;His,Val,Met,bABA,GABA,3-Me-His,0.9025;His,Trp,bAiBA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.9025;His,Trp,Aminoadipic acid,Ethylglycine,GABA,Hydroxyproline,0.9025;His,Trp,Aminoadipic acid,bAiBA,Ethylglycine,Hydroxyproline,0.9025;His,bAiBA,Ethylglycine,GABA,Homoarginine,3-Me-His,0.9019;Ser,His,Val,bABA,Ethylglycine,N6-Acetyl-L-Lys,0.9019;Ser,His,Trp,bABA,Ethylglycine,Homoarginine,0.9019;His,Ala,Cit,Trp,Ethylglycine,GABA,0.9019;His,Ala,Cit,Trp,bABA,Ethylglycine,0.9019;His,Cit,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.9019;His,Cit,Tyr,bAiBA,Putrescine,Hydroxyproline,0.9019;His,Tyr,Aminoadipic acid,bAiBA,Putrescine,Hydroxyproline,0.9019;His,Trp,bAiBA,GABA,Putrescine,3-Me-His,0.9019;Ala,Cit,Trp,bABA,bAiBA,GABA,0.9019;Val,Trp,bABA,bAiBA,Ethylglycine,GABA,0.9019;Trp,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9019;Ser,His,Cit,Tyr,bAiBA,Putrescine,0.9019;Ser,His,Cit,bAiBA,GABA,Putrescine,0.9019;Ser,His,Trp,bABA,Ethylglycine,3-Me-His,0.9019;Ser,His,Aminoadipic acid,bABA,Ethylglycine,Putrescine,0.9019;Ser,His,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9019;Ser,His,bAiBA,Ethylglycine,Homoarginine,3-Me-His,0.9019;His,Ala,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9019;His,Ala,Trp,bAiBA,GABA,N6-Acetyl-L-Lys,0.9019;His,Ala,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9019;His,Ala,Cit,Met,bABA,GABA,0.9019;His,Cit,bABA,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.9019;His,Cit,Trp,Ethylglycine,GABA,Putrescine,0.9019;His,Cit,Met,bAiBA,Ethylglycine,Hydroxyproline,0.9019;His,Cit,Met,bABA,GABA,3-Me-His,0.9019;His,Cit,Val,Ethylglycine,Homoarginine,Putrescine,0.9019;His,Tyr,bAiBA,Putrescine,3-Me-His,Hydroxyproline,0.9019;His,Tyr,Aminoadipic acid,bAiBA,GABA,Putrescine,0.9019;His,Tyr,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9019;His,Met,bABA,bAiBA,Putrescine,Hydroxyproline,0.9019;His,Met,Trp,bABA,GABA,Homoarginine,0.9019;His,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9019;His,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,Putres. cine,0.9019;Tyr,Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9019;Val,Trp,bABA,bAiBA,GABA,Hydroxyproline,0.9019;Ser,His,Ala,bABA,GABA,N6-Acetyl-L-Lys,0.9019;Ser,His,Val,Aminoadipic acid,bAiBA,Ethylglycine,0.9019;His,Ala,Tyr,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9019;His,Ala,Tyr,Val,bABA,GABA,0.9019;His,Cit,bAiBA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.9019;His,Tyr,Trp,bAiBA,GABA,Putrescine,0.9019;His,Val,bABA,GABA,Putrescine,3-Me-His,0.9019;His,Val,bABA,GABA,Homoarginine,Putrescine,0.9019;His,Val,Trp,bAiBA,Ethylglycine,Hydroxyproline,0.9019;His,Met,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9019;His,Trp,bAiBA,Ethylglycine,3-Me-His,Hydroxyproline,0.9019;His,Trp,bABA,bAiBA,Putrescine,Hydroxyproline,0.9019;His,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.9019;Cit,Trp,bABA,Ethylglycine,GABA,Putrescine,0.9019;Ser,His,Val,bAiBA,Ethylglycine,Hydroxyproline,0.9019;His,Met,Trp,Ethylglycine,GABA,3-Me-His,0.9019;Ser,His,Aminoadipic acid,bAiBA,GABA,Homoarginine,0.9013;Ser,His,Met,bABA,Ethylglycine,N6-Acetyl-L-Lys,0.9013;Ser,His,bABA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.9013;His,Cit,Aminoadipic acid,bAiBA,GABA,Hydroxyproline,0.9013;His,Tyr,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9013;His,Tyr,Trp,bABA,GABA,3-Me-His,0.9013;His,Tyr,Trp,bABA,bAiBA,Ethylglycine,0.9013;His,Val,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.9013;His,Aminoadipic acid,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.9013;Ser,His,Cit,Trp,Ethylglycine,GABA,0.9013;Ser,His,Tyr,bAiBA,Ethylglycine,Homoarginine,0.9013;Ser,His,Val,Ethylglycine,Homoarginine,Putrescine,0.9013;Ser,His,Trp,bABA,bAiBA,Putrescine,0.9013;Ser,His,Aminoadipic acid,bAiBA,Ethylglycine,3-Me-His,0.9013;His,Ala,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9013;His,Cit,Ethylglycine,GABA,Homoarginine,Putrescine,0.9013;His,Cit,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.9013;His,Cit,Trp,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.9013;His,Cit,Trp,bAiBA,Homoarginine,Putrescine,0.9013;His,Tyr,Val,bAiBA,Ethylglycine,GABA,0.9013;His,Met,Aminoadipic acid,bAiBA,Ethylglycine,Hydroxyproline,0.9013;Cit,Aminoadipic acid,bABA,Ethylglycine,GABA,3-Me-His,0.9013;Val,Aminoadipic acid,bABA,bAiBA,Ethylglycine,GABA,0.9013;Ser,His,Ala,Tyr,bAiBA,Ethylglycine,0.9013;Ser,His,Ala,Val,bAiBA,Ethylglycine,0.9013;Ser,His,Ala,Trp,bAiBA,Ethylglycine,0.9013;Ser,His,Ala,bAiBA,Ethylglycine,Hydroxyproline,0.9013;Ser,His,Tyr,bAiBA,Ethylglycine,Hydroxyproline,0.9013;Ser,His,Val,bABA,GABA,N6-Acetyl-L-Lys,0.9013;Ser,His,Trp,bAiBA,Putrescine,Hydroxyproline,0.9013;Ser,His,Trp,Ethylglycine,GABA,Putrescine,0.9013;Ser,His,bABA,Ethylglycine,3-Me-His,Hydroxyproline,0.9013;Ser,His,Ethylglycine,GABA,Homoarginine,Hydroxyproline,0.9013;Ser,His,Ethylglycine,Homoarginine,Putrescine,3-Me-His,0.9013;His,Ala,Trp,bAiBA,Ethylglycine,Hydroxyproline,0.9013;His,Cit,bABA,Ethylglycine,Putrescine,Hydroxyproline,0.9013;His,Cit,Val,bABA,Ethylglycine,Putrescine,0.9013;His,Tyr,Val,bABA,GABA,3-Me-His,0.9013;His,Tyr,Val,bABA,GABA,Homoarginine,0.9013;His,Val,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,0.9013;His,Val,bABA,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9013;His,Val,Trp,Ethylglycine,GABA,Homoarginine,0.9013;His,Val,Met,Trp,bABA,GABA,0.9013;His,Met,Aminoadipic acid,bABA,bAiBA,Ethylglycine,0.9013;His,Met,Trp,Ethylglycine,GABA,Hydroxyproline,0.9013;His,Trp,Ethylglycine,GABA,Putrescine,Hydroxyproline,0.9013;His,Trp,bAiBA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9013;His,Ala,Val,bABA,GABA,Putrescine,0.9013;His,Val,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9013;Ser,His,Cit,Aminoadipic acid,bAiBA,GABA,0.9006;His,Cit,bAiBA,GABA,Putrescine,Hydroxyproline,0.9006;His,Cit,Aminoadipic acid,Ethylglycine,Putrescine,3-Me-His,0.9006;His,Cit,Val,Aminoadipic acid,Ethylglycine,Putrescine,0.9006;Ser,His,Cit,bAiBA,GABA,N6-Acetyl-L-Lys,0.9006;Ser,His,Tyr,bABA,Ethylglycine,N6-Acetyl-L-Lys,0.9006;Ser,His,Val,Met,bABA,Ethylglycine,0.9006;Ser,His,Val,Trp,bABA,Ethylglycine,0.9006;Ser,His,Val,bABA,Ethylglycine,3-Me-His,0.9006;His,Ala,bAiBA,Ethylglycine,Putrescine,3-Me-His,0.9006;His,Ala,Cit,Trp,bAiBA,Putrescine,0.9006;His,Cit,Trp,Aminoadipic acid,Ethylglycine,GABA,0.9006;His,Tyr,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.9006;His,Tyr,bAiBA,Ethylglycine,GABA,Homoarginine,0.9006;His,Tyr,bABA,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.9006;His,Tyr,Met,bAiBA,Putrescine,Hydroxyproline,0.9006;His,Val,bABA,bAiBA,Putrescine,Hydroxyproline,0.9006;His,Met,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9006;His,Met,bAiBA,Ethylglycine,Homoarginine,Putrescine,0.9006;His,Trp,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9006;His,Aminoadipic acid,bAiBA,Ethylglycine,Homoarginine,Putrescine,0.9006;His,bABA,bAiBA,Ethylglycine,Homoarginine,Hydroxyproline,0.9006;His,bABA,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.9006;His,bAiBA,GABA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.9006;Cit,Trp,bABA,Ethylglycine,GABA,Hydroxyproline,0.9006;Met,Trp,bABA,bAiBA,GABA,Hydroxyproline,0.9006;Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,Hydroxyproline,0.9006;Ser,His,Ala,Cit,bABA,bAiBA,0.9006;Ser,His,Ala,bAiBA,Ethylglycine,3-Me-His,0.9006;Ser,His,Cit,bAiBA,Ethylglycine,3-Me-His,0.9006;Ser,His,Tyr,Val,bABA,Ethylglycine,0.9006;Ser,His,Tyr,bABA,bAiBA,Hydroxyproline,0.9006;Ser,His,Val,bABA,bAiBA,Hydroxyproline,0.9006;Ser,His,Val,Ethylglycine,GABA,3-Me-His,0.9006;Ser,His,Met,bAiBA,Ethylglycine,3-Me-His,0.9006;Ser,His,Trp,bAiBA,GABA,3-Me-His,0.9006;His,Ala,Val,Trp,Ethylglycine,GABA,0.9006;His,Tyr,Trp,Aminoadipic acid,Ethylglycine,GABA,0.9006;His,Tyr,Val,bABA,GABA,N6-Acetyl-L-Lys,0.9006;His,Tyr,Val,Trp,Ethylglycine,GABA,0.9006;His,Met,Trp,Ethylglycine,GABA,Homoarginine,0.9006;His,Met,Trp,bABA,GABA,3-Me-His,0.9006;His,Aminoadipic acid,bABA,bAiBA,Putrescine,Hydroxyproline,0.9006;His,bAiBA,GABA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.9006;Ala,Met,Trp,bABA,Ethylglycine,GABA,0.9006;Ser,His,Cit,Aminoadipic acid,bABA,bAiBA,0.9006;Ser,His,Tyr,bAiBA,Ethylglycine,GABA,0.9006;Ser,His,Ethylglycine,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9006;His,Ala,Val,Met,bABA,GABA,0.9006;His,Cit,Met,bABA,Ethylglycine,Putrescine,0.9006;His,Tyr,bABA A,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.9006;His,Tyr,Trp,Ethylglycine,GABA,Hydroxyproline,0.9006;His,Tyr,Val,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9006;His,Val ,Met,bABA,GABA,N6-Acetyl-L-Lys,0.9006;His,Tyr,Val,bAiBA,GABA,Hydroxyproline,0.9000;His,Met,bAiBA,Ethylglycine,GABA,3-Me-His,0.9000;Ala,Val,Met,bABA,bAiBA,GABA,0.9000;Ser,His,Cit,bAiBA,GABA,Homoarginine,0.9000;Ser,Val,Met,bABA,bAiBA,GABA,0.9000;His,Ala,bAiBA,Ethylglycine,GABA,3-Me-His,0.9000;His,Cit,Aminoadipic acid,bAiBA,GABA,Putrescine,0.9000;His,Cit,Met,Aminoadipic acid,bAiBA,GABA,0.9000;His,Cit,Tyr,bAiBA,Ethylglycine,GABA,0.9000;His,Met,bAiBA,Ethylglycine,GABA,Homoarginine,0.9000;His,Trp,Aminoadipic acid,Ethylglycine,Homoarginine,Putrescine,0.9000;Cit,Aminoadipic acid,bABA,bAiBA,GABA,Hydroxyproline,0.9000;Ser,His,Ala,Cit,bABA,Ethylglycine,0.9000;Ser,His,Ala,bABA,Ethylglycine,3-Me-His,0.9000;Ser,His,Ala,bAiBA,Ethylglycine,Homoarginine,0.9000;Ser,His,Cit,Tyr,bAiBA,Ethylglycine,0.9000;Ser,His,Cit,bAiBA,Ethylglycine,Hydroxyproline,0.9000;Ser,His,Val,bABA,Ethylglycine,Homoarginine,0.9000;Ser,His,Val,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.9000;Ser,His,Trp,bABA,Ethylglycine,Hydroxyproline,0.9000;Ser,His,bABA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.9000;Ser,His,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.9000;Ser,Ala,Trp,bABA,Ethylglycine,GABA,0.9000;His,Cit,Aminoadipic acid,bAiBA,Ethylglycine,Homoarginine,0.9000;His,Cit,Val,Trp,Ethylglycine,Putrescine,0.9000;His,Cit,Tyr,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.9000;His,Tyr,Aminoadipic acid,bAiBA,GABA,Hydroxyproline,0.9000;His,Tyr,Aminoadipic acid,bAiBA,Ethylglycine,Hydroxyproline,0.9000;His,Tyr,Trp,Ethylglycine,Homoarginine,Putrescine,0.9000;His,Tyr,Trp,Aminoadipic acid,bAiBA,GABA,0.9000;His,Val,bAiBA,GABA,3-Me-His,Hydroxyproline,0.9000;His,Val,Trp,bAiBA,GABA,Putrescine,0.9000;His,Trp,Ethylglycine,Homoarginine,Putrescine,3-Me-His,0.9000;His,Trp,bAiBA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.9000;Ala,Trp,bABA,bAiBA,Ethylglycine,GABA,0.9000;Met,Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,0.9000;Ser,His,Ala,bABA,bAiBA,Hydroxyproline,0.9000;Ser,His,Ala,bABA,Ethylglycine,Hydroxyproline,0.9000;Ser,His,Cit,Met,bAiBA,Putrescine,0.9000;Ser,His,Cit,bABA,bAiBA,3-Me-His,0.9000;Ser,His,Cit,bABA,Ethylglycine,3-Me-His,0.9000;Ser,His,Tyr,bABA,GABA,N6-Acetyl-L-Lys,0.9000;Ser,His,Val,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.9000;Ser,His,Met,bABA,GABA,N6-Acetyl-L-Lys,0.9000;Ser,His,bABA,bAiBA,3-Me-His,Hydroxyproline,0.9000;Ser,His,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,0.9000;His,Ala,Trp,Aminoadipic acid,Ethylglycine,GABA,0.9000;His,Cit,Trp,Ethylglycine,GABA,Homoarginine,0.9000;His,Tyr,bABA,GABA,Putrescine,3-Me-His,0.9000;His,Val,bABA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.9000;His,Val,Trp,bAiBA,GABA,N6-Acetyl-L-Lys,0.9000;His,Val,Trp,bABA,GABA,3-Me-His,0.9000;His,Val,Met,bABA,GABA,Hydroxyproline,0.9000;His,Val,Met,bABA,GABA,Putrescine,0.9000; 0.9000;His,Met,Trp,bABA,GABA,N6-Acetyl-L-Lys,0.9000;His,Trp,bABA,Ethylglycine,Homoarginine,Putrescine,0.9000; acid, bAiBA, Ethylglycine, N6-Acetyl-L-Lys, 3-Me-His, 0.9000;Cit, Trp, bABA, Ethylglycine, GABA, Homoarginine, 0.9000; yr, bAiBA, Ethylglycine, 3-Me-His, 0.9000;His, Ala, Trp, bAiBA, Ethylglycine, Homoarginine, 0.9000; acid, bABA, bAiBA, Ethylglycine, 0.9000; His, Val, Met, Trp, Ethylglycine, GABA, 0.9000; s, 0.9000; His, Ala, bAiBA, Ethylglycine, GABA, Homoarginine, 0.8994; acid, bABA, Ethylglycine, GABA, Putrescine, 0.8994;Cit, Trp, bABA, bAiBA, GABA, Putrescine, 0.8994;8994;Ser,His,Met,bABA,Ethylglycine,Hydroxyproline,0.8994;Ser,His,Met,bAiBA,GABA,N6-Acetyl-L-Lys,0.8994;Ser,His,bABA,bAiBA,Homoarginine,Putrescine,0.8994;Ser,His,bABA,Ethylglycine,Homoarginine,3-Me-His,0.8994;Ser,Trp,bABA,bAiBA,Ethylglycine,GABA,0.8994;His,Cit,bAiBA,Ethylglycine,3-Me-His,Hydroxyproline,0.8994;His,Cit,Val,Trp,bAiBA,Putrescine,0.8994;His,Cit,Tyr,Trp,Ethylglycine,GABA,0.8994;His,Tyr,Val,Trp,bABA,GABA,0.8994;His,Trp,Aminoad. ipic acid,bAiBA,GABA,Homoarginine,0.8994;His,bAiBA,GABA,Homoarginine,N6-Acetyl-L-Lys,Hydroxyproline,0.8994;Tyr,Trp,bABA,bAiBA,Ethylglycine,GABA,0.8994;Trp,bABA,bAiBA,GABA,Homoarginine,Hydroxyproline,0.8994;Trp,bABA,bAiBA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8994;Ser,His,Ala,Trp,bAiBA,GABA,0.8994;Ser,His,Cit,Trp,bAiBA,N6-Acetyl-L-Lys,0.8994;Ser,His,Cit,Ethylglycine,GABA,3-Me-His,0.8994;Ser,His,Tyr,bABA,Ethylglycine,3-Me-His,0.8994;Ser,His,Val,bABA,GABA,Putrescine,0.8994;Ser,His,Met,bABA,bAiBA,Homoarginine,0.8994;His,Ala,bABA,bAiBA,Putrescine,Hydroxyproline,0.8994;His,Ala,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8994;His,Ala,Val,bABA,GABA,Homoarginine,0.8994;His,Cit,Aminoadipic acid,bAiBA,Ethylglycine,Hydroxyproline,0.8994;His,Cit,Trp,Aminoadipic acid,bAiBA,Putrescine,0.8994;His,Cit,Met,Trp,Ethylglycine,GABA,0.8994;His,Tyr,Val,bAiBA,Putrescine,Hydroxyproline,0.8994;His,Tyr,Val,bABA,GABA,Hydroxyproline,0.8994;His,Met,bAiBA,Ethylglycine,Homoarginine,Hydroxyproline,0.8994;His,Met,Trp,bAiBA,GABA,N6-Acetyl-L-Lys,0.8994;His,Trp,bAiBA,Ethylglycine,Homoarginine,Hydroxyproline,0.8994;His,Trp,Aminoadipic acid,bAiBA,Putrescine,Hydroxyproline,0.8994;His,Trp,Aminoadipic acid,bABA,bAiBA,Ethylglycine,0.8994;Cit,Trp,bAiBA,Ethylglycine,GABA,Putrescine,0.8994;Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8994;Ser,His,Cit,Ethylglycine,Putrescine,3-Me-His,0.8994;His,Cit,Tyr,bABA,Ethylglycine,Putrescine,0.8994;His,Cit,bAiBA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.8988;His,Cit,Aminoadipic acid,Ethylglycine,GABA,Putrescine,0.8988;His,Cit,Tyr,Aminoadipic acid,bAiBA,GABA,0.8988;Cit,Val,Aminoadipic acid,bABA,bAiBA,GABA,0.8988;Ser,His,Ala,Tyr,bABA,Ethylglycine,0.8988;Ser,His,Ala,Ethylglycine,Homoarginine,Putrescine,0.8988;Ser,His,Cit,bAiBA,GABA,Hydroxyproline,0.8988;Ser,His,Val,Ethylglycine,Putrescine,3-Me-His,0.8988;Ser,His,Aminoadipic acid,bABA,Ethylglycine,N6-Acetyl-L-Lys,0.8988;Ser,His,bAiBA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.8988;Ser,Trp,bABA,bAiBA,GABA,Hydroxyproline,0.8988;His,Ala,Trp,bAiBA,Putrescine,Hydroxyproline,0.8988;His,Ala,Val,bAiBA,Ethylglycine,Putrescine,0.8988;His,Ala,Val,Trp,Ethylglycine,Putrescine,0.8988;His,Cit,bAiBA,GABA,N6-Acetyl-L-Lys,Putrescine,0.8988;His,Val,bAiBA,GABA,Putrescine,Hydroxyproline,0.8988;His,Val,Trp,Ethylglycine,Homoarginine,Putrescine,0.8988;His,Val,Met,bAiBA,GABA,Hydroxyproline,0.8988;His,Met,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.8988;His,Trp,Ethylglycine,GABA,Homoarginine,N6-Acetyl-L-Lys,0.8988;His,Trp,bABA,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.8988;His,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.8988;His,Aminoadipic acid,bABA,Ethylglycine,Putrescine,Hydroxyproline,0.8988;Cit,Aminoadipic acid,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8988;Cit,Trp,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8988;Cit,Met,Aminoadipic acid,bABA,Ethylglycine,GABA,0.8988;Tyr,Aminoadipic acid,bABA,bAiBA,GABA,Hydroxyproline,0.8988;Met,Trp,bABA,bAiBA,GABA,3-Me-His,0.8988;Ser,His,Ala,Tyr,bABA,GABA,0.8988;Ser,His,Ala,Trp,bABA,Ethylglycine,0.8988;Ser,His,Ala,Ethylglycine,GABA,Homoarginine,0.8988;Ser,His,Tyr,bABA,bAiBA,Homoarginine,0.8988;Ser,His,Val,Met,bABA,GABA,0.8988;Ser,His,Val,bAiBA,GABA,Hydroxyproline,0.8988;Ser,His,Val,Ethylglycine,GABA,Homoarginine,0.8988;Ser,His,Trp,Aminoadipic acid,bAiBA,GABA,0.8988;Ser,His,Aminoadipic acid,bAiBA,GABA,0.8988; acid,bABA,bAiBA,Hydroxyproline,0.8988;Ser,His,bAiBA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.8988;Ser,His,Ethylglycine,Putrescine,3- Me-His,Hydroxyproline,0.8988;His,Ala,Trp,bAiBA,GABA,Hydroxyproline,0.8988;His,Ala,Tyr,bAiBA,Ethylglycine,GABA,0.8988;His,Cit,Aminoadipic acid,Ethylglycine,Homoarginine,Putrescine,0.8988;His,Cit,Aminoadipic acid,bABA,Homoarginine,Putrescine,0.8988;His,Cit,Tyr,Trp,bAiBA,Putrescine,0.8988;His,Tyr,Trp,bAiBA,GABA,N6-Acetyl-L-Lys,0.8988;His,Tyr,Trp,Aminoadipic acid,bAiBA,Ethylglycine,0.8988;His,Val,bAiBA,GABA,Homoarginine,Hydroxyproline,0.8988;His,Val,Trp,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.8988;His,Met,bAiBA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.8988;His,Trp,bABA,Ethylglycine,Putrescine,Hydroxyproline,0.8988;His,Trp,Aminoadipic acid,bAiBA,GABA,3-Me-His,0.8988;His,bABA,bAiBA,Putrescine,3-Me-His,Hydroxyproline,0.8988;Val,Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,0.8988;Ser,His,Tyr,Met,bAiBA,Ethylglycine,0.8988;His,Ala,Aminoadipic acid,bABA,bAiBA,Ethylglycine,0.8988;His,Ala,Val,bABA,Ethylglycine,Putrescine,0.8988;His,Ala,Tyr,Trp,bAiBA,Ethylglycine,0.8988;His,Cit,Trp,Ethylglycine,GABA,3-Me-His,0.8988;His,Cit,Val,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.8988;His,Tyr,Trp,Ethylglycine,GABA,3-Me-His,0.8988;His,Met,Trp,Ethylglycine,GABA,Putrescine,0.8988;His,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,3-Me-His,0.8988;His,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.8988;His,Trp,bABA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.8988;His,Aminoadipic acid,bABA,Ethylglycine,3-Me-His,Hydroxyproline,0.8988;Ser,His,bAiBA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.8981;His,Ala,Tyr,Trp,Ethylglycine,Putrescine,0.8981;His,Cit,bAiBA,GABA,Homoarginine,Putrescine,0.8981;His,Cit,Aminoadipic acid,bAiBA,GABA,N6-Acetyl-L-Lys,0.8981;His,Aminoadipic acid,Ethylglycine,GABA,Homoarginine,3-Me-His,0.8981;Val,Aminoadipic acid,bABA,bAiBA,GABA,Hydroxyproline,0.8981;Ser,His,Ala,bABA,Ethylglycine,N6-Acetyl-L-Lys,0.8981;Ser,His,Tyr,Met,bABA,Ethylglycine,0.8981;Ser,His,Met,Trp,bAiBA,Putrescine,0.8981;Ser,His,Met,bAiBA,GABA,Hydroxyproline,0.8981;Ser,His,bABA,bAiBA,Homoarginine,N6-Acetyl-L-Lys,0.8981;Ser,His,bABA,Ethylglycine,Homoarginine,Hydroxyproline,0.8981;His,Ala,Met,Trp,Ethylglycine,Putrescine,0.8981;His,Cit,Aminoadipic acid,bABA,Ethylglycine,3-Me-His,0.8981;His,Cit,Met,bAiBA,GABA,Hydroxyproline,0.8981;His,Trp,bABA,bAiBA,Ethylglycine,Homoarginine,0.8981;His,Aminoadipic acid,Ethylglycine,GABA,Homoarginine,Putrescine,0.8981;Ala,Cit,Trp,bABA,GABA,Hydroxyproline,0.8981;Cit,Aminoadipic acid,bABA,bAiBA,GABA,Homoarginine,0.8981;Cit,Tyr,Aminoadipic acid,bABA,Ethylglycine,GABA,0.8981;Val,bABA,bAiBA,Ethylglycine,GABA,Hydroxyproline,0.8981;Val,Met,bABA,bAiBA,GABA,Hydroxyproline,0.8981;Trp,bABA,bAiBA,Ethylglycine,GABA,Homoarginine,0.8981;Ser,His,Ala,Ethylglycine,GABA,3-Me-His,0.8981;Ser,His,Cit,Trp,Ethylglycine,Homoarginine,0.8981;Ser,His,Tyr,Trp,bAiBA,GABA,0.8981;Ser,His,Tyr,bABA,GABA,Putrescine,0.8981;Ser,His,Tyr,Ethylglycine,GABA,Homoarginine,0.8981;Ser,His,Val,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.8981;Ser,His,Met,bABA,Ethylglycine,3-Me-His,0.8981;Ser,His,Met,bABA,GABA,Putrescine,0.8981;Ser,His,Trp,bABA,bAiBA,Hydroxyproline,0.8981;Ser,His,Trp,bABA,Ethylglycine,N6-Acetyl-L-Lys,0.8981;Ser,His,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8981;Ser,Met,Trp,bABA,bAiBA,GABA,0.8981;His,Ala,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.8981;His,Ala,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,0.8981;His,Ala,Tyr,bABA,GABA,Putrescine,0.8981;His,Ala,Tyr,Trp,Ethylglycine,GABA,0.8981;His,Cit,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,Putrescine,0.8981;His,Cit,Ethylglycine,GABA,N6-Acetyl-L-Lys,3-Me-His,0.8981;His,Cit,Ethylglycine,GABA,Homoarginine,N6-Acetyl-L-Lys,0.8981;His,Cit,Aminoadipic acid,Ethylglycine,GABA,Homoarginine,0.8981;His,Cit,Aminoadipic acid,bABA,Ethylglycine,Homoarginine,0.8981;His,Cit,Trp,Ethylglycine,GABA,Hydroxyproline,0.8981;His,Cit,Trp,bABA,Ethylglycine,Homoarginine,0.8981;His,Cit,Tyr,Aminoadipic acid,bAiBA,Ethylglycine,0.8981;His,Tyr,Aminoadipic acid,bAiBA,GABA,N6-Acetyl-L-Lys,0.8981;His,Tyr,Trp,Ethylglycine,GABA,Homoarginine,0.8981;His,Tyr,Trp,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.8981;His,Tyr,Met,bABA,GABA,Putrescine,0.8981;His,Tyr,Val,bABA,bAiBA,Ethylglycine,0.8981;His,Val,bABA,bAiBA,N6-Acetyl-L-Lys,Hydroxyproline,0.8981;His,Val,bABA,bAiBA,Ethylglycine,3-Me-His,0.8981;His,Val,Aminoadipic acid,bAiBA,Ethylglycine,Hydroxyproline,0.8981;His,Val,Trp,Ethylglycine,GABA,3-Me-His,0.8981;His,Val,Trp,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.8981;His,Val,Met,bABA,Ethylglycine,Putrescine,0.8981;His,Met,bAiBA,Ethylglycine,3-Me-His,Hydroxyproline,0.8981;His,Met,Trp,bAiBA,Putrescine,Hydroxyproline,0.8981;His,Met,Trp,Aminoadipic acid,bAiBA,GABA,0.8981;His,Trp,Ethylglycine,GABA,Homoarginine,3-Me-His,0.8981;His,Trp,bAiBA,GABA,Homoarginine,3-Me-His,0.8981;His,bABA,GABA,Homoarginine,N6-Acetyl-L-Lys,Putrescine,0.8981;His,bABA,bAiBA,Homoarginine,N6-Acetyl-L-Lys,Hydroxyproline,0.8981;Ala,Trp,bABA,Ethylglycine,GABA,Hydroxyproline,0.8981;Ala,Trp,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8981;Trp,Aminoadipic acid,bABA,bAiBA,GABA,Homoarginine,0.8981;Ser,His,Cit,Val,bABA,bAiBA,0.8981;Ser,His,Cit,Trp,bABA,bAiBA,0.8981;Ser,His,bAiBA,GABA,Putrescine,Hydroxyproline,0.8981;His,Cit,Trp,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.8981;His,Tyr,Val,Met,bABA,GABA,0.8981;His,Met,bABA,GABA,Putrescine,3-Me-His,0.8981;His,Cit,Aminoadipic acid,Ethylglycine,GABA,3-Me-His,0.8981;His,Cit,Met,bAiBA,GABA,Putrescine,0.8975;His,Cit,Val,Aminoadipic acid,bABA,Ethylglycine,0.8975;His,Cit,Tyr,bAiBA,Ethylglycine,Hydroxyproline,0.8975;His,Met,Aminoadipic acid,bAiBA,GABA,Homoarginine,0.8975;Ser,His,Ala,Met,bABA,bAiBA,0.8975;Ser,His,Ala,bABA,Ethylglycine,Homoarginine,0.8975;Ser,His,Aminoadipic acid,bABA,Ethylglycine,Homoarginine,0.8975;Ser,His,Aminoadipic acid,Ethylglycine,Homoarginine,Putrescine,0.8975;Ser,Trp,Aminoadipic acid,bABA,bAiBA,GABA,0.8975;His,Ala,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.8975;His,Ala,Trp,bABA,bAiBA,Ethylglycine,0.8975;His,Ala,Tyr,bABA,bAiBA,Ethylglycine,0.8975;His,Ala,Cit,Aminoadipic acid,bAiBA,GABA,0.8975;His,Cit,Aminoadipic acid,bABA,bAiBA,Homoarginine,0.8975;His,Cit,Val,bABA,bAiBA,Hydroxyproline,0.8975;His,Tyr,Aminoadipic acid acid,bABA,Ethylglycine,Putrescine,0.8975;His,Val,Trp,bAiBA,Putrescine,Hydroxyproline,0.8975;is,Met,Aminoadipic acid,bAiBA,GABA,Putrescine,0.8975;His,Trp,bAiBA,GABA,Homoarginine,Putrescine,0.8975;8975;His,Trp,Aminoadipic acid,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8975;Cit,Aminoadipic acid,bABA,Ethylglycine,GABA,Hydroxyproline,0.8975;Tyr,Aminoadipic acid,bABA,bAiBA,GABA,Homoarginine,0.8975;Ser,His,Ala,Met,bABA,Ethylglycine,0.8975;Ser,His,Ala,bAiBA,GABA,Hydroxyproline,0.8975;Ser,His,Cit,Val,bABA,Ethylglycine,0.8975;Ser,His,Cit,bAiBA,Putrescine,Hydroxyproline,0.8975;Ser,His,Tyr,Val,bAiBA,Ethylglycine,0.8975;Ser,His,Val,Trp,Ethylglycine,Putrescine,0. 8975;Ser,His,Met,Aminoadipic acid,bAiBA,GABA,0.8975;Ser,His,Met,Ethylglycine,Homoarginine,Putrescine,0.8975;Ser,His,Trp,Aminoadipic acid,bABA,Ethylglycine,0.8975;Ser,His,Aminoadipic acid,Ethylglycine,Homoarginine,3-Me-His,0.8975;Ser,Cit,Trp,bABA,bAiBA,GABA,0.8975;His,Ala,Trp,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.8975;His,Ala,Met,Trp,Ethylglycine,GABA,0.8975;His,Ala,Tyr,bAiBA,Putrescine,Hydroxyproline,0.8975;His,Cit,bABA,bAiBA,N6-Acetyl-L-Lys,3-Me-His,0.8975;His,Cit,Trp,Ethylglycine,Putrescine,3-Me-His,0.8975;His,Cit,Trp,bAiBA,GABA,3-Me-His,0.8975;His,Cit,Trp,bABA,bAiBA,Hydroxyproline,0.8975;His,Tyr,Met,bAiBA,Ethylglycine,GABA,0.8975;His,Val,Aminoadipic acid,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.8975;His,Trp,GABA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.8975;Tyr,Trp,Aminoadipic acid,bABA,bAiBA,GABA,0.8975;Ser,His,Cit,bABA,Ethylglycine,N6-Acetyl-L-Lys,0.8975;Ser,His,Val,Met,bABA,bAiBA,0.8975;Ser,His,Met,Trp,bABA,Ethylglycine,0.8975;Ser,His,Met,bAiBA,Putrescine,Hydroxyproline,0.8975;Ser,His,Aminoadipic acid,bABA,bAiBA,Putrescine,0.8975;His,Ala,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.8975;His,Ala,bABA,Ethylglycine,Putrescine,Hydroxyproline,0.8975;His,Ala,bABA,Ethylglycine,Putrescine,3-Me-His,0.8975;His,Ala,Met,bABA,Ethylglycine,Putrescine,0.8975;His,Ala,Tyr,bABA,GABA,N6-Acetyl-L-Lys,0.8975;His,Cit,bAiBA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.8975;His,Cit,Aminoadipic acid,bABA,bAiBA,Hydroxyproline,0.8975;His,Tyr,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.8975;His,Tyr,Trp,bAiBA,Ethylglycine,3-Me-His,0.8975;His,Val,Trp,bABA,Ethylglycine,Putrescine,0.8975;His,Met,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8975;His,Aminoadipic acid,bABA,bAiBA,Ethylglycine,Homoarginine,0.8975;His,bABA,bAiBA,Homoarginine,Putrescine,Hydroxyproline,0.8975;Cit,Aminoadipic acid,bABA,Ethylglycine,GABA,Homoarginine,0.8975;Cit,Tyr,Trp,bABA,Ethylglycine,GABA,0.8975;Tyr,Aminoadipic acid,bABA,bAiBA,GABA,Putrescine,0.8975;Val,Trp,Aminoadipic acid,bABA,bAiBA,GABA,0.8975;Ser,His,bAiBA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.8969;Tyr,Met,Aminoadipic acid,bABA,bAiBA,GABA,0.8969;Val,Met,Aminoadipic acid, bABA, bAiBA, GABA, 0.8969;Ser,His,Cit,Trp,bAiBA,Homoarginine,0.8969;Ser,His,Cit,Aminoadipic acid,bABA,Ethylglycine,0.8969;Ser,His,Cit,bABA,Ethylglycine,Hydroxyproline,0.8969;Ser,His,Trp,Ethylglycine,N6-Acetyl-L-Lys,3-Me- His,0.8969;His,Ala,Trp,Ethylglycine,Putrescine,3-Me-His,0.8969;His,Ala,Trp,bAiBA,GABA,Homoarginine,0.8969;His,Ala,Trp,Aminoadipic acid,Ethylglycine,Putrescine,0.8969;His,Cit,Met,bAiBA,GABA,N6-Acetyl-L-Lys,0.8969;His,Cit,Val,Ethylgl ycine,Putrescine,3-Me-His,0.8969;His,Cit,Val,bAiBA,GABA,N6-Acetyl-L-Lys,0.8969;His,Cit,Val,Aminoadipic acid,bAiBA,GABA,0.8969;His,Val,Aminoadipic acid,Ethylglycine,GABA,3-Me-His,0.8969;His,Trp,Ethylglycine,Homoarginine,Putrescine,Hydroxyproline,0.8969;Amino,Cit acid,bABA,Ethylglycine,GABA,0.8969;Ala,Cit,Trp,Aminoadipic acid,bABA,GABA,0.8969;Cit,Met,Aminoadipic acid,bABA,bAiBA,GABA,0.8969;Ser,His,Cit,Val,Ethylglycine,Putrescine,0.8969;Ser,His,Cit,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.8969;Ser,His,Tyr,Ethylglycine,GABA,3-Me-His,0.8969;Ser,His,Val,Trp,Ethylglycine,N6-Acetyl-L-Lys,0.8969;Ser,His,Met,bABA,bAiBA,N6-Acetyl-L-Lys,0.8969;Ser,His,Met,Ethylglycine,GABA,3-Me-His,0.8969;Ser,His,Trp,Ethylglycine,Putrescine,Hydroxyproline,0.8969;Ser,His,Aminoadipic acid,Ethylglycine,Putrescine,3-Me-His,0.8969;Ser,His,bAiBA,GABA,Homoarginine,Hydroxyproline,0.8969;Ser,Ala,Met,bABA,bAiBA,GABA,0.8969;Ser,Met,Trp,bAiBA,Ethylglycine,GABA,0.8969;Ser,Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,0.8969;His,Ala,Aminoadipic acid,bABA,Ethylglycine,Putrescine,0.8969;His,Cit,Ethylglycine,Homoarginine,Putrescine,3-Me-His,0.8969;His,Cit,bABA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.8969;His,Cit,bABA,bAiBA,Homoarginine,Hydroxyproline,0.8969;His,Cit,bABA,bAiBA,Homoarginine,N6-Acetyl-L-Lys,0.8969;His,Cit,Aminoadipic acid,bABA,bAiBA,3-Me-His,0.8969;His,Cit,Trp,bABA,bAiBA,N6-Acetyl-L-Lys,0.8969;His,Cit,Met,Ethylglycine,Homoarginine,Putrescine,0.8969;His,Cit,Val,Aminoadipic acid,bAiBA,Ethylglycine,0.8969;His,Tyr,bAiBA,Homoarginine,Putrescine,Hydroxyproline,0.8969;His,Tyr,bAiBA,Ethylglycine,GABA,3-Me-His,0.8969;His,Tyr,bABA,GABA,Homoarginine,Putrescine,0.8969;His,Tyr,Trp,Ethylglycine,GABA,Putrescine,0.8969;His,Tyr,Trp,bABA,bAiBA,Putrescine,0.8969;His,Val,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.8969;His,Val,bABA,Ethylglycine,Putrescine,Hydroxyproline,0.8969;His,Val,Trp,bAiBA,GABA,3-Me-His,0.8969;His,Val,Met,bAiBA,Ethylglycine,Hydroxyproline,0.8969;His,Met,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.8969;His,Met,bABA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.8969;His,Aminoadipic acid,Ethylglycine,Putrescine,3-Me-His,Hydroxyproline,0.8969;His,Aminoadipic acid,bAiBA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.8969;Tyr,Aminoadipic acid,bABA,bAiBA,GABA,3-Me-His,0.8969;Ser,His,bAiBA,GABA,3-Me-His,Hydroxyproline,0.8969;His,Ala,bABA,GABA,Homoarginine,Putrescine,0.8969;His,Ala,Met,bABA,GABA,Putrescine,0.8969;His,Cit,Val,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.8969;His,Met,bABA,GABA,Homoarginine,Putrescine,0.8969;His,Trp,Aminoadipic acid,Ethylglycine,GABA,Putrescine,0.8969;Ala,Met,Trp,bABA,GABA,Hydroxyproline,0.8969;Ala,Tyr,Aminoadipic acid,bABA,bAiBA,GABA,0.8969;Cit,Trp,bABA,bAiBA,GABA,Hydroxyproline,0.8969;Ser,His,Aminoadipic acid,bAiBA,GABA,Putrescine,0.8963;His,Cit,Val,bAiBA,GABA,Hydroxyproline,0.8963;His,Cit,Val,Met,Ethylglycine,Putrescine,0.8963;Tyr,Val,Aminoadipic acid,bABA,bAiBA,GABA,0.8963;Ser,His,Ala,Aminoadipic acid,bAiBA,GABA,0.8963;Ser,His,Cit,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.8963;Ser,His,Tyr,bABA,Ethylglycine,Homoarginine,0.8963;Ser,His,Val,Trp,bAiBA,Putrescine,0.8963;Ser,His,Val,Aminoadipic acid,bAiBA,GABA,0.8963 acid,Ethylglycine,Putrescine,0.8963;Ser,His,bABA,Ethylglycine,N6-Acetyl-L-Lys,Hydroxyproline,0.8963;His,Cit,bABA,b AiBA,3-Me-His,Hydroxyproline,0.8963;His,Cit,Val,bAiBA,GABA,Putrescine,0.8963;His,Cit,Val,bAiBA,GABA,Homoarginine,0.8963;His,Cit,Val,bAiBA,Ethylglycine,Hydroxyproline,0.8963;His,Tyr,bAiBA,Ethylglycine,3-Me-His,Hydroxyproline,0.8963;His,Tyr,bABA,bAiBA,Putrescine,3-Me-His,0.8963;His,Trp,Aminoadipic acid,GABA,3-Me-His,Hydroxyproline,0.8963;Ser,His,Cit,Tyr,bABA,bAiBA,0.8963;Ser,His,Cit,bABA,Homoarginine,N6-Acetyl-L-Lys,0.8963;Ser,His,Tyr,bABA,Ethylglycine,Hydroxyproline,0.8963;Ser,His,Tyr,Ethylglycine,Homoarginine,Putrescine,0.8963;Ser,His,Val,Aminoadipic acid,bABA,Ethylglycine,0.8963;Ser,His,bABA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.8963;Ser,His,bAiBA,Putrescine,3-Me-His,Hydroxyproline,0.8963;Ser,His,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,Putrescine,0.8963;Ser,Cit,Trp,Aminoadipic acid,bABA,GABA,0.8963;Ser,Val,bABA,bAiBA,Ethylglycine,GABA,0.8963;His,Ala,bAiBA,GABA,N6-Acetyl-L-Lys,Hydroxyproline,0.8963;His,Ala,Trp,Aminoadipic acid,bAiBA,GABA,0.8963;His,Ala,Met,bABA,bAiBA,Ethylglycine,0.8963;His,Cit,bAiBA,GABA,Homoarginine,Hydroxyproline,0.8963;His,Cit,bAiBA,Ethylglycine,Homoarginine,Hydroxyproline,0.8963;His,Cit,Met,bAiBA,Ethylglycine,3-Me-His,0.8963;His,Cit,Met,bABA,bAiBA,Hydroxyproline,0.8963;His,Cit,Met,Aminoadipic. acid,bAiBA,Ethylglycine,0.8963;His,Tyr,Aminoadipic acid,bAiBA,Ethylglycine,Homoarginine,0.8963;His,Tyr,Met,bABA,bAiBA,Ethylglycine,0.8963;His,Tyr,Met,Aminoadipic acid,bAiBA,GABA,0.8963;His,Val,Trp,bABA,bAiBA,Ethylglycine,0.8963;His,Trp,bABA,bAiBA,Ethylglycine,3-Me-His,0.8963;Ala,Trp,Aminoadipic acid,bABA,bAiBA,GABA,0.8963;Cit,Trp,bABA,bAiBA,GABA,3-Me-His,0.8963;Cit,Tyr,Aminoadipic acid,bABA,bAiBA,GABA,0.8963;Met,Trp,bABA,bAiBA,GABA,Putrescine,0.8963;Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,Putrescine,0.8963;Trp,Aminoadipic acid,bABA,Ethylglycine,GABA,Putrescine,0.8963; acid,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.8963;Ser,His,Met,bAiBA,GABA,Putrescine,0.8963;His,Ala,bABA,GABA,Putrescine,3-Me -His,0.8963;His,Cit,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,3-Me-His,0.8963;His,Cit,Trp,bAiBA,Putrescine,3-Me-His,0.8963;His,Tyr,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,0.8963;His,Tyr,bABA,bAiBA,Ethylglycine,3-Me-His,0.8963;His,Tyr,Met,bABA,GABA,N6-Acetyl-L-Lys,0.8963;His,Val,Trp,Ethylglycine,Putrescine,Hydroxyproline,0.8963;His,Met,bABA,Ethylglycine,Putrescine,Hydroxyproline,0.8963;His,Met,bABA,bAiBA,Ethylglycine,3-Me-His,0.8963;His,Met,Trp,bAiBA,GABA,3-Me-His,0.8963;His,Trp,bAiBA,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.8963;His,Aminoadipic acid,Ethylglycine,GABA,N6-Acetyl-L-Lys,3-Me-His,0.8963;His,Aminoadipic acid,Ethylglycine,GABA,Homoarginine,Hydroxyproline,0.8963;His,Aminoadipic acid,bABA,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.8963;His,bABA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.8963;Ser,His,Ala,bAiBA,GABA,N6-Acetyl-L-Lys,0.8956;Ser,His,Cit,Trp,bABA,Putrescine,0.8956;Ser,His,Val,Aminoadipic acid,bAiBA,GABA,0.8956;Ser,His,Val,bAiBA,GABA,N6-Acetyl-L-Lys,0.8956;Ser,His,Trp,Ethylglycine,Homoarginine,Hydroxyproline,0.8956;His,Ala,Val,Trp,bAiBA,GABA,0.8956;His,Ala,Tyr,bAiBA,Ethylglycine,Hydroxyproline,0.8956;His,Ala,Cit,Val,Ethylglycine,Putrescine,0.8956;His,Cit,bAiBA,GABA,N6-Acetyl-L-Lys,3-Me-His,0.8956;His,Cit,bAiBA,Ethylglycine,Homoarginine,3-Me-His,0.8956;His,Cit,Met,bAiBA,Ethylglycine,Homoarginine,0.8956;His,Tyr,Val,bABA,bAiBA,Hydroxyproline,0.8956;His,Aminoadipic acid,bABA,Ethylglycine,Homoarginine,Putrescine,0.8956;Ala,Aminoadipic acid,bABA,bAiBA,GABA,Hydroxyproline,0.8956;Cit,Trp,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.8956;Trp,Aminoadipic acid,bABA,GABA,3-Me-His,Hydroxyproline,0.8956;Ser,His,Ala,Aminoadipic acid,bABA,Ethylglycine,0.8956;Ser,His,Cit,Trp,Ethylglycine,Putrescine,0.8956;Ser,His,Tyr,bAiBA,GABA,Hydroxyproline,0.8956;Ser,His,Val,bABA,bAiBA,Putrescine,0.8956;Ser,His,Met,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.8956;Ser,His,Trp,Ethylglycine,Putrescine,3-Me-His,0.8956;Ser,His,Trp,Ethylglycine,3-Me-His,Hydroxyproline,0.8956;Ser,Trp,bABA,Ethylglycine,GABA,Hydroxyproline,0.8956;His,Ala,bAiBA,GABA,Putrescine,Hydroxyproline,0.8956;His,Ala,bABA,Ethylglycine,Homoarginine,Putrescine,0.8956;His,Ala,Aminoadipic acid,bAiBA,Ethylglycine,Hydroxyproline,0.8956;His,Ala,Met,bAiBA,Ethylglycine,Hydroxyproline,0.8956;His,Ala,Cit,Aminoadipic acid,bABA,bAiBA,0.8956;His,Cit,Met,Aminoadipic acid,bABA,bAiBA,0.8956;His,Cit,Met,Trp,bAiBA,Putrescine,0.8956;His,Cit,Val,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8956;His,Tyr,Met,bABA,GABA,3-Me-His,0.8956;His,Val,bAiBA,Ethylglycine,3-Me-His,Hydroxypro. line,0.8956;His,Val,Met,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.8956;His,Val,Met,Trp,bAiBA,GABA,0.8956;His,Met,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.8956;His,Met,bABA,bAiBA,N6-Acetyl-L-Lys,Putrescine,0.8956;His,Trp,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,Putrescine,0.8956;His,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,Putrescine,0.8956;His,Aminoadipic acid,bAiBA,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.8956;Ala,Aminoadipic acid,bABA,bAiBA,Ethylglycine,GABA,0.8956;Ala,Met,Trp,bAiBA,Ethylglycine,GABA,0.8956;Ala,Tyr,Trp,bABA,Ethylglycine,GABA,0.8956;Ala,Cit,Trp,bAiBA,Ethylglycine,GABA,0.8956;Tyr,Aminoadipic acid,bABA,bAiBA,GABA,N6-Acetyl-L-Lys,0.8956;Ser,His,Ala,bABA,bAiBA,Putrescine,0.8956;Ser,His,Tyr,Met,bABA,GABA,0.8956;Ser,His,Tyr,Trp,bABA,Ethylglycine,0.8956;Ser,His,Tyr,bABA,bAiBA,N6-Acetyl-L-Lys,0.8956;Ser,His,Val,Ethylglycine,GABA,Putrescine,0.8956;Ser,His,Met,Aminoadipic acid,bABA,bAiBA,0.8956;Ser,His,Met,bABA,bAiBA,3-Me-His,0.8956;Ser,His,Trp,GABA,3-Me-His,Hydroxyproline,0.8956;Ser,His,Aminoadipic acid,bABA,bAiBA,N6-Acetyl-L-Lys,0.8956;Ser,His,Ethylglycine,GABA,Homoarginine,N6-Acetyl-L-Lys,0.8956;His,Cit,Aminoadipic acid,bAiBA,Ethylglycine,3-Me-His,0.8956;His,Cit,Aminoadipic acid,bABA,Ethylglycine,N6-Acetyl-L-Lys,0.8956;His,Cit,Aminoadipic acid,bABA,bAiBA,N6-Acetyl-L-Lys,0.8956;His,Cit,Val,bABA,bAiBA,Homoarginine,0.8956;His,Val,Trp,Aminoadipic acid,bAiBA,GABA,0.8956;His,Trp,Ethylglycine,GABA,Putrescine,3-Me-His,0.8956;His,bABA,bAiBA,Ethylglycine,Homoarginine,3-Me-His,0.8956;His,Ethylglycine,GABA,Putrescine,3-Me-His,Hydroxyproline,0.8956;Cit,Val,Trp,bABA,Ethylglycine,GABA,0.8956;Ser,His,Ala,Ethylglycine,Putrescine,3-Me-His,0.8956;Ser,His,Aminoadipic acid,Ethylglycine,GABA,3-Me-His,0.8956;His,Ala,bABA,GABA,Homoarginine,3-Me-His,0.8956;His,Ala,Tyr,bABA,GABA,3-Me-His,0.8956;His,Cit,Trp,bABA,bAiBA,Homoarginine,0.8956;His,Tyr,Val,Aminoadipic acid,bAiBA,Ethylglycine,0.8956;His,Met,bABA,GABA,N6-Acetyl-L-Lys,Putrescine,0.8956;His,Met,bABA,GABA,Homoarginine,3-Me-His,0.8956; -Me-His, 0.8956; His, bABA, Ethylglycine, Putrescine, 3-Me-His, Hydroxyproline, 0.8956; Ser, His, bAiBA, GABA, Putrescine, 3-Me-His, 0.8950; acid,bAiBA,GABA,3-Me-His,0.8950;His,Cit,Tyr,bAiBA,GABA,Hydroxyproline,0.8950;His,Aminoadipic acid,bAiBA,GABA,Homoarginine,N6-Acetyl-L-Lys,0.8950;Ser,His,Cit,Met,bAiBA,GABA,0.8950;Ser,His,Trp,GABA, Homoarginine,Hydroxyproline,0.8950;Ser,Trp,bABA,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8950;Ser,Aminoadipic acid, bABA, bAiBA, GABA, Hydroxyproline, 0.8950; His, Ala, Cit, bAiBA, GABA, N6-Acetyl-L-Lys, 0.8950; acid,Ethylglycine,GABA,0.8950;Cit,Aminoadipic acid,bABA,bAiBA,GABA,3-Me-His,0.8950;Cit,Trp,Aminoadipic acid acid,bABA,GABA,3-Me-His,0.8950;Cit,Val,Met,bABA,bAiBA,GABA,0.8950;Met,Aminoadipic acid,bABA,bAiBA,GABA,Homoarginine,08950;Ser,His,Ala,Val,Trp,Ethylglycine,0.8950;Ser,His,Cit,Ethylglycine,3-Me-His,Hydroxyproline,0.8950;Ser,His,Tyr,Met,bAiBA,Putrescine,0.8950;Ser,His,Ethylglycine,Homoarginine,Putrescine,Hydroxyproline,0.8950;His,Ala,Val,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,0.8950;His,Ala,Cit,Ethylglycine,Homoarginine,Putrescine,0.8950;His,Ala,Cit,AiBA,Ethylglycine,Homoarginine,0.8950;His,Ala,Cit,Trp,bAiBA,N6-Acetyl-L-Lys,0.8950;His,Cit,Aminoadipic acid,bABA,Ethylglycine,Hydroxyproline,0.8950;His,Cit,Met,Ethylglycine,GABA,Homoarginine,0.8950;His,Cit,Met,Trp,bAiBA,GABA,0.8950;His,Cit,Val,Trp,bAiBA,GABA,0.8950;His,Cit,Tyr,Ethylglycine,Homoarginine,Putrescine,0.8950;His,Cit,Tyr,bAiBA,GABA,Putrescine,0.8950;His,Tyr,Trp,bAiBA,GABA,Homoarginine,0.8950;His,Val,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.8950;His,Val,Trp,bAiBA,GABA,Homoarginine,0.8950;His,Met,bAiBA,GABA,Homoarginine,Hydroxyproline,0.8950;His,Trp,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,Hydroxyproline,0.8950;His,Aminoadipic acid,Ethylglycine,GABA,Putrescine,3-Me-His,0.8950;His,bABA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.8950;Ala,Val,bABA,bAiBA,Ethylglycine,GABA,0.8950;Cit,Aminoadipic acid,bABA,bAiBA,GABA,Putrescine,0.8950;Cit,Val,Trp,bABA,bAiBA,GABA,0.8950;Tyr,Trp,Aminoadipic acid,bABA,GABA,3-Me-His,0.8950;Trp,bABA,Ethylglycine,GABA,Putrescine,Hydroxyproline,0.8950;Trp,Aminoadipic acid,bABA,GABA,Homoarginine,Hydroxyproline,0.8950;Ser,His,Met,Aminoadipic acid,bAiBA,Putrescine,0.8950;Ser,His,bABA,bAiBA,N6-Acetyl-L-Lys,3-Me-His,0.8950;Ser,His,bABA,bAiBA,Putrescine,3-Me-His,0.8950;Ser,Cit,Aminoadipic acid,bABA,Ethylglycine,GABA,0.8950;Ser,Met,bABA,bAiBA,GABA,Hydroxyproline,0.8950;Ser,Aminoadipic acid,bAiBA,Putrescine,3-Me-His,0.8950 acid,bABA,bAiBA,Ethylglycine,GABA,0.8950;His,Ala,bAiBA,Ethylglycine,Homoarginine,Hydroxyproline,0.8950;His,Ala,Trp,bABA,Ethyl glycine,N6-Acetyl-L-Lys,0.8950;His,Ala,Tyr,Met,bABA,GABA,0.8950;His,Cit,Ethylglycine,Homoarginine,Putrescine,Hydroxyproline,0.8950;His,Cit,Ethylglycine,GABA,N6-Acetyl-L-Lys,Putrescine,0.8950;His,Tyr,bABA,Ethylglycine,Putrescine,Hydroxyproline,0.8950;His,Tyr,Trp,Ethylglycine,GABA,N6-Acetyl-L-Lys,0.8950;His,Val,bAiBA,Ethylglycine,N6-Acetyl-L-Lys,3-Me-His,0.8950;His,Val,bABA,bAiBA,Ethylglycine,Homoarginine,0.8950;His,Val,Trp,Aminoadipic acid,bAiBA,Ethylglycine,0.8950;His,Val,Met,bABA,bAiBA,Ethylglycine,0.8950;His,Val,Met,Trp,Ethylglycine,Putrescine,0.8950;His,Met,Trp,bABA,Ethylglycine,Putrescine,0.8950;His,Met,Trp,Aminoadipic acid,bAiBA,Ethylglycine,0.8950;His,Trp,bAiBA,Homoarginine,Putrescine,Hydroxyproline,0.8950;His,Trp,bAiBA,Homoarginine,N6-Acetyl-L-Lys,Hydroxyproline,0.8950;His,Trp,Aminoadipic acid,bAiBA,Ethylglycine,3-Me-His,0.8950;His,Aminoadipic acid,Ethylglycine,Homoarginine,Putrescine,3-Me-His,0.8950;His,bABA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,Putrescine,0.8950;His,bABA,bAiBA,N6-Acetyl-L-Lys,Putrescine,3-Me-His,0.8950;His,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,3-Me-His,Hydroxyproline,0.8950;Cit,Trp,bABA,Ethylglycine,GABA,3-Me-His,0.8950;Val,Met,Trp,bABA,bAiBA,GABA,0.8950;Ser,His,Ala,bAiBA,GABA,Putresci ne,0.8944;Ser,His,Val,bAiBA,GABA,Homoarginine,0.8944;Ser,His,bAiBA,GABA,Homoarginine,Putrescine,0.8944;Val,Aminoadipic acid,bABA,bAiBA,GABA,Homoarginine,0.8944;Ser,His,Ala,Cit,Trp,Ethylglycine,0.8944;Ser,His,Ala,bAiBA,GABA,Homoarginine,0.8944;Ser,His,Cit,Tyr,bABA,Ethylglycine,0.8944;Ser,His,Aminoadipic acid,bAiBA,GABA,3-Me-His,0.8944;His,Ala,Aminoadipic acid,bAiBA,GABA,Putrescine,0.8944;His,Ala,Met,Aminoadipic acid,bAiBA,GABA,0.8944;His,Ala,Cit,Ethylglycine,Putrescine,3-Me-His,0.8944;His,Ala,Cit,Aminoadipic acid,bABA,Ethylglycine,0.8944;His,Ala,Cit,Met,Ethylglycine,Putrescine,0.8944;His,Cit,bAiBA,GABA,Putrescine,3-Me-His,0.8944;His,Cit,Met,bAiBA,GABA,Homoarginine,0.8944;His,Aminoadipic acid,Ethylglycine,GABA,Homoarginine,N6-Acetyl-L-Lys,0.8944;Cit,Tyr,Trp,bABA,bAiBA,GABA,0.8944;Ser,His,Cit,Val,bAiBA,GABA,0.8944;Ser,His,Cit,Met,bABA,Homoarginine,0.8944;Ser,His,Met,Aminoadipic acid,bABA,Ethylglycine,0.8944;Ser,His,Trp,Ethylglycine,Homoarginine,3-Me-His,0.8944;Ser,Tyr,Aminoadipic acid,bABA,bAiBA,GABA,0.8944;Ser,Met,Trp,bABA,Ethylglycine,GABA,0.8944;His,Ala,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.8944;His,Ala,Cit,bABA,bAiBA,Hydroxyproline,0.8944;His,Cit,bAiBA,GABA,3-Me-His,Hydroxyproline,0.8944;His,Cit,Met,Aminoadipic acid,Ethylglycine,Putrescine,0.8944;His,Cit,Val,bAiBA,Ethylglycine,3-Me-His,0.8944;His,Cit,Val,Aminoadipic acid,bABA,bAiBA,0.8944;His,Cit,Tyr,Ethylglycine,GABA,Homoarginine,0.8944;His,Tyr,bABA,bAiBA,Homoarginine,Putrescine,0.8944;His,Tyr,Met,bAiBA,Ethylglycine,Hydroxyproline,0.8944;is,Tyr,Val,bABA,bAiBA,Putrescine,0.8944;His,Met,Aminoadipic acid,bABA,Ethylglycine,Putrescine,0.8944;His,Met,Trp,bABA,bAiBA,Ethylglycine,0.8944;His,Trp,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.8944;His,Aminoadipic acid,bAiBA,Ethylglycine,Homoarginine,Hydroxyproline,0.8944;His,Aminoadipic acid,bAiBA,Ethylglycine,Homoarginine,N6-Acetyl-L-Lys,0.8944;His,Aminoadipic acid,bABA,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,0.8944;His,bAiBA,N6-Acetyl-L-Lys,Putrescine,3-Me-His,Hydroxyproline,0.8944;His,Ethylglycine,GABA,Homoarginine,Putrescine,Hydroxyproline,0.8944;His,Ethylglycine,GABA,Homoarginine,Putrescine,3-Me-His,0.8944;Ala,Val,bABA,bAiBA,GABA,Hydroxyproline,0.8944;Cit,Met,Trp,bABA,bAiBA,GABA,0.8944;Tyr,Trp,bABA,Ethylglycine,GABA,Hydroxyproline,0.8944;Val,bABA,bAiBA,GABA,Homoarginine,Hydroxyproline,0.8944;Val,Trp,bABA,Ethylglycine,GABA,Hydroxyproline,0.8944;Trp,Aminoadipic acid,bABA,bAiBA,GABA,3-Me-His,0.8944;Ser,His,Cit,Trp,bAiBA,Hydroxyproline,0.8944;Ser,His,Tyr,Met,bABA,bAiBA,0.8944;Ser,His,Tyr,Trp,Ethylglycine,Putrescine,0.8944;Ser,His,Val,Met,Ethylglycine,Putrescine,0.8944;Ser,His,Met,Ethylglycine,GABA,Homoarginine,0.8944;Ser,His,Aminoadipic acid,Ethylglycine,3-Me-His,Hydroxyproline,0.8944;Ser,His,Ethylglycine,N6-Acetyl-L-Lys,Putrescine,3-Me-His,0.8944;Ser,Cit,Met,bABA,bAiBA,GABA,0.8944;His,Ala,bAiBA,Ethylglycine,3-Me-His,Hydroxyproline,0.8944;His,Cit,Trp,Aminoadipic acid,bABA,bAiBA,0.8944;His,Cit,Met,bABA,bAiBA,N6-Acetyl-L-Lys,0.8944;His,Cit,Val,Met,bAiBA,Ethylglycine,0.8944;His,Tyr,bABA,GABA,Homoarginine,3-Me-His,0.8944;His,Tyr,Met,bABA,bAiBA,Hydroxyproline,0.8944;His,Tyr,Met,Aminoadipic acid,bABA,bAiBA,N6-Acetyl-L-Lys,0.8944 acid,bAiBA,Ethylglycine,0.8944;His,Tyr,Val,Trp,bAiBA,Ethylglycine,0.8944;His,Met,Aminoadipic acid,bABA,bAiBA,Putrescine,0.8944;His,Aminoadipic acid,bABA,Ethylglycine,Putrescine,3-Me-His,0.8944; acid,bABA,bAiBA,3-Me-His,Hydroxyproline,0.8944;His,bABA,Ethylglycine,Homoarginine,Putrescine,Hydroxyproline,0.8944 ;His,bAiBA,Homoarginine,N6-Acetyl-L-Lys,Putrescine,Hydroxyproline,0.8944;Cit,Met,Trp,bABA,Ethylglycine,GABA,0.8944.
[0142] [14.2 Variables] Gln, N-Me-bABA, 1.0000; Ala, N-Me-bABA, 0.9809; Pro, N-Me-bABA, 0.9844; Met, N-Me-bABA, 0.9878; Trp, N-Me-bABA, 0.9931; Aminoadipic acid, N-Me-bABA, 0.9844; Cadaverine, N-Me-bABA, 0.9844; Homoarginine, N-Me-bABA, 0.9913; N6-Acetyl-L-Lys, N-Me-bABA, 0.9844; Spermidine, N-Me-bABA, 0.9878; Homocitrulline, N-Me-bABA, 0.9896; Asn, N-Me-bABA, 0.9826; His, N-Me-bABA, 1.0000; Cit, N-Me-bABA, 0.9809; Tyr, N-Me-bABA, 0.9913; Orn, N-Me-bABA, 0.9809; Leu, N-Me-bABA, 0.9861; X1.Me.His, N-Me-bABA, 0.9809; bABA, N-Me-bABA, 0.9931; Ethylglycine, N-Me-bABA, 0.9965; Putrescine, N-Me-bABA, 0.9826; Spermine, N-Me-bABA, 0.9809; 3-Me-His, N-Me-bABA, 0.9965; Thr, N-Me-bABA, 0.9809; Arg, N-Me-bABA, 0.9861; Val, N-Me-bABA, 0.9948; Lys, N-Me-bABA, 0.9931; GABA, N-Me-bABA, 0.9931; Serotonin, N-Me-bABA, 0.9826; ADMA, N-Me-bABA, 0.9826; Hydroxyproline, N-Me-bABA, 0.9844
[0143] [15.1 Variable addition] aABA,0.9306;Aminoadipic acid, 0.9444; bABA, 0.9392; bAiBA, 0.9566; Cadaverine, 0.9340; GABA, 0.9462; Hypotaurine, 0.9323; N6-Acetyl-L-Lys, 0.9444 ;Putrescine, 0.9358;Spermidine,0.9306;Spermine,0.9340;ADMA,0.9323;N-Me-bABA,1.0000;AC(13:1),0.9809;EPA,0.9462
[0144] [16.2th edition] X1.Me.His,aABA,0.9340;X1.Me.His,Aminoadipic acid,0.9427;X1.Me.His,bABA,0.9392;X1.Me.His,bAiBA,0.9514;X1.Me.His,GABA,0.9531;X1.Me.His,Hypotaurine,0.9323;X1-Me.L-A3His,N.9323; 1;X1.Me.His,Spermine,0.9323;X1.Me.His,ADMA,0.9306;X1.Me.His,N-Me-bABA,1.0000;X1.Me.His,AC(13:1),0.9826;X1.Meno.adi.apic,94ABA,0EPA,0.9826; acid,0.9410;aABA,bABA,0.9444;aABA,bAiBA,0.9549;aABA,Ethylglycine,0.9427;aABA,GABA,0.9479;aABA,Homoarginine,0.944 4;aABA,Hypotaurine,0.9531;aABA,Kynurenine,0.9323;aABA,N6-Acetyl-L-Lys,0.9444;aABA,Putrescine,0.9358;aABA,Serotonin n,0.9323;aABA,Spermidine,0.9323;aABA,Spermine,0.9410;aABA,ADMA,0.9340;aABA,Homocitrulline,0.9323;aABA,Hydroxypro line,0.9358;aABA,Phosphoetanolamine,0.9306;aABA,N-Me-bABA,1.0000;aABA,AC(13:1),0.9809;aABA,EPA,0.9531;Aminoadipic acid,bABA,0.9410;Aminoadipic acid,bAiBA,0.9514;Aminoadipic acid,Cadaverine,0.9444;Aminoadipic acid,Ethylglycine,0.9514;Aminoadipic acid,0GABA,0.9583;Aminoadipic acid,0ABA,0.9583;Aminoadipic acid,0ABA,0.9583; acid,Hypotaurine,0.9566;Aminoadipic acid,Kynurenine,0.9514;Aminoadipic acid,N6-Acetyl-L-Lys,0.9444;Aminoadipic acid,Putrescine,0.9479;Aminoadipic acid,Serotonin,0.9358;Aminoadipic acid,Spermidine,0.9444; acid,Spermine,0.9479;Aminoadipic acid,ADMA,0.9549;Aminoadipic acid,Homocitrulline,0.9444;Aminoadipic acid,3-Me-His,0.9392;Aminoadipic acid,Hydroxyproline,0.9444;Aminoadipic acid,Phosphoethanolamine,0.9462;Aminoadipic acid acid,N-Me-bABA,1.0000;Aminoadipic acid,AC(13:1),0.9826;Aminoadipic acid,EPA,0.9497;bABA,bAiBA,0.9497;bABA,Cadaverine,0.9427;bABA,Ethylglycine,0.9392;bABA,GABA,0.9618;bABA,Homoarginine,0.9323;bABA,Hypotaurine,0.9410;bABA,Kynurenine,0.9358;bABA,N6-Acetyl-L-Lys,0.9514;bABA,Putrescine,0.9392;bABA,Serotonin,0.9444;bABA,Spermide ne,0.9392;bABA,Spermine,0.9514;bABA,ADMA,0.9410;bABA,Homocitrulline,0.9340;bABA,3-Me-His,0.9375;bABA,Hydroxyproline,0.9358;bABA,Phosphoethanolamine,0.9375;bABA,N-Me-bABA,1.0000;bABA,AC(13:1),0.9809;bABA,EPA,0.9618;bAiBA,Cadaverine,0.9549;bAiBA,Ethylglycine,0.9531;bAiBA,GABA,0.9653;bAiBA,Homoarginine,0.9531;bAiBA,Hypotaurine,0.9566;bAiBA,Kynurenine,0.9566;bAiBA,N6-Acetyl-L-Lys,0.9618;bAiBA,Putrescine,0.9549;bAiBA,Serotonin,0.9583;bAiBA,Spermidine,0.9601;bAiBA,Spermine,0.9514;bAiBA,ADMA,0.9531;bAiBA,Homocitrulline,0.9479;bAiBA,3-Me-His,0.9531;bAiBA,Hydroxyproline,0.9531;bAiBA,Phosphoetanolamine,0.9601;bAiBA,N-Me-bABA,1.0000;bAiBA,AC(13:1),0.9983;bAiBA,EPA,0.9635;Cadaverine,Ethylglycine,0.9306;Cadaverine,GABA,0.9479;Cadaverine,Homoarginine,0.9358;Cadaverine,Hypotaurine,0.9444;Cadaverine,Kynurenine,0.9340;Cadaverine,N6-Acetyl-L-Lys,0.9497;Cadaverine,Putrescine,0.9358;Cadaverine,Serotonin,0.9323;Cadaverine,Spermidine,0.9323;Cadaverine,Spermine,0.9375;Cadaverine,ADMA,0.9358;Cadaverine,Phosphoetanolamine,0.9306;Cadaverine,N-Me-bABA,1.0000;Cadaverine,AC(13:1),0.9826;Cadaverine,EPA,0.9531;Ethylglycine,GABA,0.9497;Ethylglycine,Homoarginine,0.9358;Ethylglycine,Hypotaurine,0.9375;Ethylglycine,Kynurenine,0.9340;Ethylglycine,N6-Acetyl-L-Lys,0.9497;Ethylglycine,Putrescine,0.9323;Ethylglycine,Serotonin,0.9306;Ethylglycine,Spermine,0.9340;Ethylglycine,ADMA,0.9479;Ethylglycine,Homocitrulline,0.9323;Ethylglycine,3-Me-His,0.9323;Ethylglycine,N-Me-bABA,1.0000;Ethylglycine,AC(13:1),0.9861;Ethylglycine,EPA,0.9479;GABA,Homoarginine,0.9549;GABA,Hypotaurine,0.9618;GABA,Kynurenine,0.9531;GABA,N6-Acetyl-L-Lys,0.9497;GABA,Putrescine,0.9444;GABA,Serotonin,0.9497;GABA,Spermidine,0.9635;GABA,Spermine,0.9549;GABA,ADMA,0.9531;GABA,Homocitrulline,0.9462;GABA,3-Me-His,0.9444;GABA,Hydroxyproline,0.9514;GABA,Phosphoetanolamine,0.9462;GABA,N-Me-bABA,1.0000;GABA,AC(13:1),0.9983;GABA,EPA,0.9826;Homoarginine,Hypotaurine,0.9375;Homoarginine,Kynurenine,0.9306;Homoarginine,N6-Acetyl-L-Lys,0.9514;Homoarginine,Serotonin,0.9375;Homoarginine,Spermine,0.9358;Homoarginine,ADMA,0.9358;Homoarginine,Homocitrulline,0.9323;Homoarginine,3-Me-His,0.9306;Homoarginine,Phosphoetanolamine,0.9288;Homoarginine,N-Me-bABA,1.0000;Homoarginine,AC(13:1),0.9896;Homoarginine,EPA,0.9566;Hypotaurine,Kynurenine,0.9340;Hypotaurine,N6-Acetyl-L-Lys,0.9670;Hypotaurine,Putrescine,0.9427;Hypotaurine,Serotonin,0.9323;Hypotaurine,Spermidine,0.9323;Hypotaurine,Spermine,0.9392;Hypotaurine,ADMA,0.9410;Hypotaurine,Homocitrulline,0.9358;Hypotaurine,3-Me-His,0.9323;Hypotaurine,Hydroxyproline,0.9306;Hypotaurine,Phosphoetanolamine,0.9306;Hypotaurine,N-Me-bABA,1.0000;Hypotaurine,AC(13:1),0.9861;Hypotaurine,EPA,0.9583;Kynurenine,N6-Acetyl-L-Lys,0.9566;Kynurenine,Putrescine,0.9375;Kynurenine,Spermine,0.9340;Kynurenine,ADMA,0.9340;Kynurenine,3-Me-His,0.9323;Kynurenine,Hydroxyproline,0.9306;Kynurenine,N-Me-bABA,1.0000;Kynurenine,AC(13:1),0.9826;Kynurenine,EPA,0.9444;N6-Acetyl-L-Lys,Putrescine,0.9514;N6-Acetyl-L-Lys,Serotonin,0.9497;N6-Acetyl-L-Lys,Spermidine,0.9618;N6-Acetyl-L-Lys,Spermine,0.9670;N6-Acetyl-L-Lys,ADMA,0.9549;N6-Acetyl-L-Lys,Homocitrulline,0.9462;N6-Acetyl-L-Lys,3-Me-His,0.9497;N6-Acetyl-L-Lys,Hydroxyproline,0.9444;N6-Acetyl-L-Lys,Phosphoetanolamine,0.9462;N6-Acetyl-L-Lys,N-Me-bABA,1.0000;N6-Acetyl-L-Lys,AC(13:1),0.9896;N6-Acetyl-L-Lys,EPA,0.9688;Putrescine,Serotonin,0.9375;Putrescine,Spermidine,0.9514;Putrescine,Spermine,0.9444;Putrescine,ADMA,0.9340;Putrescine,Homocitrulline,0.9323;Putrescine,3-Me-His,0.9375;Putrescine,Hydroxyproline,0.9410;Putrescine,Phosphoetanolamine,0.9375;Putrescine,N-Me-bABA,1.0000;Putrescine,AC(13:1),0.9809;Putrescine,EPA,0.9583;Serotonin,Spermine,0.9340;Serotonin,ADMA,0.9427;Serotonin,Homocitrulline,0.9323;Serotonin,3-Me-His,0.9306;Serotonin,Phosphoetanolamine,0.9306;Serotonin,N-Me-bABA,1.0000;Serotonin,AC(13:1),0.9826;Serotonin,EPA,0.9462;Spermidine,Spermine,0.9306;Spermidine,ADMA,0.9358;Spermidine,N-Me-bABA,1.0000;Spermidine,AC(13:1),0.9844;Spermidine,EPA,0.9549;Spermine,ADMA,0.9427;Spermine,Homocitrulline,0.9358;Spermine,3-Me-His,0.9358;Spermine,Phosphoetanolamine,0.9323;Spermine,N-Me-bABA,1.0000;Spermine,AC(13:1),0.9809;Spermine,EPA,0.9583;ADMA,Homocitrulline,0.9410;ADMA,3-Me-His,0.9392;ADMA,Hydroxyproline,0.9392;ADMA,Phosphoetanolamine,0.9323;ADMA,N-Me-bABA,1.0000;ADMA,AC(13:1),0.9861;ADMA,EPA,0.9531;Homocitrulline,N-Me-bABA,1.0000;Homocitrulline,AC(13:1),0.9844;Homocitrulline,EPA,0.9514;3-Me-His,N-Me-bABA,1.0000;3-Me-His,AC(13:1),0.9826;3-Me-His,EPA,0.9479;Hydroxyproline,N-Me-bABA,1.0000;Hydroxyproline,AC(13:1),0.9826;Hydroxyproline,EPA,0.9497;Phosphoetanolamine,N-Me-bABA,1.0000;Phosphoetanolamine,AC(13:1),0.9861;Phosphoetanolamine,EPA,0.9479;N-Me-bABA,AC(13:1),1.0000;N-Me-bABA,EPA,1.0000;AC(13:1),EPA,0.9861.
Claims
1. an acquisition step of acquiring information for evaluating the possibility of the subject being affected by pancreatic cancer, using a logistic regression equation including two variables into which the concentration value of Homoarginine in the blood of the subject and the concentration value of any one of six metabolites consisting of His, Trp, Cit, Gly, Tyr and N-Me-bABA in the blood are individually substituted, and a value of the equation calculated using the concentration values; An acquisition method characterized by the above.
2. the acquiring step is executed by a control unit of an information processing device including a control unit; The acquisition method according to claim 1 ,
3. a calculation step of calculating a value of a logistic regression equation for acquiring information for evaluating the possibility of suffering from pancreatic cancer, the equation including at least a concentration value of Homoarginine in the blood of a subject to be evaluated, a concentration value of any one of six metabolites consisting of His, Trp, Cit, Gly, Tyr and N-Me-bABA in the blood, and two variables into which the concentration values are individually substituted; A calculation method characterized by:
4. the calculation step is executed by a control unit of an information processing device including a control unit; The calculation method according to claim 3 ,
5. An evaluation device including a control unit, The control unit is an evaluation means for evaluating the possibility of the subject suffering from pancreatic cancer using a logistic regression equation including two variables into which the concentration value of Homoarginine in the blood of the subject and the concentration value of any one of six metabolites consisting of His, Trp, Cit, Gly, Tyr and N-Me-bABA in the blood are individually substituted, and a value of the equation calculated using the concentration values. Having the following features: An evaluation device comprising:
6. A terminal device that provides the value of the formula is communicatively connected via a network; The control unit is a data receiving means for receiving the value of the formula transmitted from the terminal device; a result transmission means for transmitting the evaluation result obtained by the evaluation means to the terminal device; Further equipped with said evaluation means using the value of said formula received by said data receiving means; The evaluation device according to claim 5 .
7. A calculation device including a control unit, The control unit is a calculation means for calculating a value of a logistic regression equation for evaluating the possibility of suffering from pancreatic cancer, the equation including at least a concentration value of Homoarginine in the blood of a subject, a concentration value of any one of six metabolites consisting of His, Trp, Cit, Gly, Tyr and N-Me-bABA in the blood, and two variables into which the concentration values are individually substituted, the calculation means using the logistic regression equation for evaluating the possibility of suffering from pancreatic cancer, the equation including the concentration value of Homoarginine in the blood of a subject, and a concentration value of any one of six metabolites consisting of His, Trp, Cit, Gly, Tyr and N-Me-bABA in the blood of the subject, the calculation means calculating a value of the logistic regression equation for evaluating the possibility of suffering from pancreatic cancer, the calculation means including at least a concentration value of Homoarginine in the blood of a subject, Having the following features: A calculation device comprising:
8. An evaluation program to be executed in an information processing device having a control unit, To be executed in the control unit, An evaluation step of evaluating the possibility of the subject suffering from pancreatic cancer using a logistic regression equation including two variables into which the concentration value of Homoarginine in the blood of the subject and the concentration value of any one of six metabolites consisting of His, Trp, Cit, Gly, Tyr and N-Me-bABA in the blood are individually substituted, and the value of the equation calculated using the concentration values. containing, An evaluation program that features:
9. A calculation program to be executed in an information processing device having a control unit, To be executed in the control unit, A calculation step of calculating the value of a logistic regression equation for evaluating the possibility of suffering from pancreatic cancer, the equation including at least the concentration value of Homoarginine in the blood of the subject, the concentration value of any one of six metabolites consisting of His, Trp, Cit, Gly, Tyr and N-Me-bABA in the blood, and two variables into which the concentration values are individually substituted, to calculate the value of the equation. containing, A calculation program comprising:
10. An evaluation system configured by connecting an evaluation device having a control unit and a terminal device having a control unit via a network so as to be able to communicate with each other, The control unit of the terminal device a data transmission means for transmitting to the evaluation device a logistic regression equation including two variables into which the concentration value of Homoarginine in the blood of the subject to be evaluated and the concentration value of any one of six metabolites consisting of His, Trp, Cit, Gly, Tyr and N-Me-bABA in the blood are individually substituted, and a value of the equation calculated using the concentration value; a result receiving means for receiving an evaluation result regarding the possibility of the evaluation subject being affected by pancreatic cancer, the evaluation result being transmitted from the evaluation device; Equipped with The control unit of the evaluation device a data receiving means for receiving the value of the formula transmitted from the terminal device; an evaluation means for evaluating a possibility that the subject is affected by pancreatic cancer by using the value of the formula received by the data receiving means; a result transmission means for transmitting the evaluation result obtained by the evaluation means to the terminal device; Having the following features: A rating system characterized by:
Citation Information
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