Drug extraction and high-efficiency separation and purification system based on molecular biological technology

Abstract

The invention discloses a medicine extraction system and method based on a molecular biological technology and chromatographic equipment, and belongs to the technical field of pharmaceutical separation and purification. The medicine extraction system based on the molecular biological technology comprises a medicine extraction module, the medicine extraction module comprises a chromatographic column, a constant flow pump, a sample injector and a collector, the output end of the constant flow pump is connected with an inlet of the chromatographic column, the sample injector is connected with the chromatographic column through a valve, and the collector receives eluent output by the chromatographic column; the operation module is used for acquiring physical and chemical data of the target product, determining first operation data of the chromatographic equipment according to the physical and chemical data, and generating a first matching vector according to the physical and chemical data and the first operation data; predicting a prediction extraction result of the target product according to the first matching vector and a preset clustering recognition space; and the control module is used for controlling the constant flow pump according to the first operation data and the prediction extraction result, and the production efficiency is improved by reducing the test verification work.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of pharmaceutical separation and purification, in particular to a drug extraction system, method and chromatography equipment based on molecular biology technology. BACKGROUND

[0002] With the development of the field of biological medicine, in order to improve the treatment effect of diseases, a large number of improved new drugs have appeared through target and molecular structure optimization, and for the production of new drugs, it is necessary to go through the steps of separation and purification, etc. At present, when using a chromatography system to purify a drug, the operation of the chromatography system needs to be controlled based on human experience and combined with the characteristics of the drug. In order to ensure that the ideal purification effect is achieved, a large amount of test verification work is usually required, which not only consumes a lot of time and resources, but also greatly reduces the overall production efficiency of new drugs.

[0003] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0004] The main purpose of the present application is to provide a drug extraction system, method and chromatography equipment based on molecular biology technology, which aims to improve production efficiency by reducing test verification work. In order to achieve the above purpose, the present application provides a drug extraction system based on molecular biology technology, characterized in that the drug extraction system based on molecular biology technology comprises: a drug extraction module, the drug extraction module comprising: a chromatography column, a constant flow pump, a sample injector, and a collector, the output end of the constant flow pump being connected with the inlet of the chromatography column, the sample injector being connected with the chromatography column through a valve, and the collector receiving the eluent output by the chromatography column; an operation module for obtaining physicochemical data of a target product, determining first operation data of a chromatography equipment according to the physicochemical data, the physicochemical data including: molecular weight, isoelectric point, hydrophobicity, pH tolerance range, and temperature sensitivity; generating a first matching vector according to the physicochemical data and the first operation data; and predicting a predicted extraction result of the target product according to the first matching vector and a preset clustering recognition space; a control module for controlling the constant flow pump according to the first operation data and the predicted extraction result.

[0005] Optionally, the first operation data includes: chromatography pressure, chromatography flow rate, chromatography temperature, and pH value of the eluent.

[0006] Optionally, the drug extraction system based on molecular biology technology further includes a monitoring module, which includes a pressure sensor, a temperature sensor, a pH sensor, and an ultraviolet spectrophotometer, wherein the ultraviolet spectrophotometer detects the optical data of the target product.

[0007] Furthermore, to achieve the above objectives, the present invention also provides a drug extraction method based on molecular biology technology, wherein the steps of the drug extraction method based on molecular biology technology include: Acquire the physicochemical data of the target product, and determine the first operating data of the chromatography equipment based on the physicochemical data, wherein the physicochemical data includes: molecular weight, isoelectric point, hydrophobicity, pH tolerance range, and temperature sensitivity; A first matching vector is generated based on the physicochemical data and the first operational data; The prediction and extraction results of the target product are predicted based on the first matching vector and the preset clustering recognition space.

[0008] Optionally, the step of determining the first operating data of the chromatography apparatus based on the physicochemical data includes: The relevant production drugs are determined based on the physicochemical data, and the relevant production drugs are production drugs for which the purification process has been determined. The first operating data is determined based on the purification control data corresponding to the relevant drug production.

[0009] Optionally, the step of determining the relevant pharmaceutical product based on the physicochemical data includes: The physicochemical data is vectorized and added to the drug feature space to obtain the target product coordinates in the drug feature space. The drug feature space includes the corresponding drug space coordinates of multiple drugs produced. The neighboring production drugs are determined as the relevant production drugs based on the target product coordinates and drug spatial coordinates.

[0010] Optionally, the number of related production drugs is more than one, and the step of determining the first operating data based on the purification control data corresponding to the related production drugs includes: By statistically analyzing the purification control data for each relevant drug production, the distribution information of various types of purification control data can be obtained. The first running data is determined based on the distribution information.

[0011] Optionally, the step of predicting the target product based on the first matching vector and the preset clustering recognition space includes: The first matching vector is converted into the first matching coordinates in the preset clustering recognition space; Search for all second matching coordinates within the neighborhood of the first matching coordinate; The predicted extraction results corresponding to the second matching coordinates are statistically analyzed to obtain the probability of each predicted extraction result.

[0012] Optionally, the step of generating a first matching vector based on the physicochemical data and the first operational data includes: Normalize the physicochemical data and the first operating data; The physicochemical data and the first operational data are then mapped to vectors according to a preset relationship to obtain the first matching vector.

[0013] Furthermore, to achieve the above objectives, the present invention also provides a chromatography apparatus, the chromatography apparatus comprising: a memory, a processor, and a drug extraction program based on molecular biology technology stored in the memory and executable on the processor, the drug extraction program based on molecular biology technology being configured to implement the steps of the drug extraction method based on molecular biology technology described in any of the above claims.

[0014] This invention proposes a drug extraction method based on molecular biology technology. This method acquires the physicochemical data of the target product and determines the first operating data of the chromatography equipment based on the physicochemical data. A first matching vector is then generated based on the physicochemical data and the first operating data. Compared to traditional methods that rely on manual experience to determine the operation of the chromatography equipment, this method effectively generates similar operating data and determines the first matching vector by calculating the distance between the target product and each category in the clustering space. Based on the first matching vector and a preset clustering recognition space, the method predicts the extraction result of the target product, thereby effectively predicting the extraction result, reducing time and resources consumed, and improving the production efficiency of novel drugs. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of the tomography device of the hardware operating environment involved in the embodiments of the present invention; Figure 2 This is a schematic flowchart of a first embodiment of a drug extraction method based on molecular biology technology according to the present invention; Figure 3 This is a schematic flowchart of a second embodiment of a drug extraction method based on molecular biology technology according to the present invention.

[0016] The realization of the objective, functional features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0017] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0018] Reference Figure 1 , Figure 1 This is a schematic diagram of the structure of the tomography device in the hardware operating environment involved in the embodiments of the present invention.

[0019] like Figure 1 As shown, the tomographic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, an interactive device 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The interactive device 1003 may include a display screen and an input unit such as a keyboard. Optionally, the interactive device 1003 may also be connected to the communication bus via a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0020] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the chromatography apparatus and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0021] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and a parsing program.

[0022] exist Figure 1 In the tomography device shown, the network interface 1004 is mainly used for data communication with other devices; the interactive device 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the tomography device of the present invention can be set in the tomography device, and the tomography device calls the tomography program stored in the memory 1005 through the processor 1001 and executes the tomography method provided in the embodiment of the present invention.

[0023] This invention provides a drug extraction method based on molecular biology techniques, referring to... Figure 2 , Figure 2 This is a schematic flowchart of the first embodiment of a drug extraction method based on molecular biology technology according to the present invention.

[0024] In this embodiment, the drug extraction method based on molecular biology technology includes: Step S1: Obtain the physicochemical data of the target product, and determine the first operating data of the chromatography equipment based on the physicochemical data. The physicochemical data includes: molecular weight, isoelectric point, hydrophobicity, pH tolerance range, and temperature sensitivity. The target product here refers specifically to the eluent obtained after chromatography, such as proteins, nucleic acids, or pharmaceutical intermediates. Chromatography is a commonly used technique in biological technology for protein separation. The core of the chromatography equipment is the chromatography column, which can be hydrophobic, affinity, or gel chromatography columns. Currently, a common affinity column is the Protein A column, used for antibody purification. It should be noted that once the target product is known, the corresponding chromatography column can be selected. Different control methods of the chromatography equipment will result in different chromatographic results. The indicator describing the extraction result of the target product is generally the elution peak, which is the peak formed by the change in concentration of the target product as it elutes from the chromatography column over time or with the volume of the eluent. Specifically, the extraction result is determined by the symmetry factor and full width at half maximum (FWHM) of the elution peak. Furthermore, the recovery rate of the target product can also be determined by the elution peak as an extraction result. In this embodiment, the type of physicochemical data for the target product is not limited; it can be other relevant physicochemical data besides molecular weight, isoelectric point, hydrophobicity, pH tolerance range, and temperature sensitivity. In this embodiment, corresponding first operating data can be generated based on the physicochemical data. Here, the first operating data refers to the operating data that can be controlled during the operation of the chromatography equipment, such as: chromatography pressure, chromatography flow rate, chromatography temperature, and pH value of the eluent during the chromatography process.

[0025] Step S2: Generate a first matching vector based on the physicochemical data and the first operating data; Specifically, the physicochemical data and the first operational data are preprocessed respectively, and the corresponding numerical ranges of the physicochemical data and the first operational data are unified.

[0026] Step S3: Based on the first matching vector and the preset clustering recognition space, predict and extract the target product prediction results.

[0027] In this embodiment, optionally, a distance-based clustering algorithm determines the cluster center to which the first matching vector belongs in a preset clustering recognition space, and the extraction result corresponding to the cluster center is used as the predicted extraction result.

[0028] In this embodiment, by acquiring the physicochemical data of the target product and determining the first operating data of the chromatography equipment based on the physicochemical data, a first matching vector is generated based on the physicochemical data and the first operating data. Compared with the traditional method of determining the operation of the chromatography equipment based on human experience, this method can effectively generate similar operating data and determine the first matching vector by calculating the distance between the target product and each category in the clustering space. Based on the first matching vector and the preset clustering recognition space, the predicted extraction result of the target product is predicted, thereby effectively predicting the extraction result of the target product, reducing the time and resources consumed, and thus improving the production efficiency of new drugs.

[0029] Furthermore, based on the first embodiment, a second embodiment of the drug extraction method based on molecular biology technology of the present invention is proposed. In this embodiment, reference is made to... Figure 3 The step of determining the first operating data of the chromatography equipment based on the physicochemical data includes: Step S11: Determine the relevant production drug based on the physicochemical data. The relevant production drug is the production drug for which the purification process has been determined. In this embodiment, it should be noted that for the same type of target product, the control data of each type are generally similar during the chromatography process. For example, molecules with the same isoelectric point are generally eluted at the same pH value. When the molecular weight is similar, the diffusion rate is similar. When other conditions are similar, the broadening of the elution peak is also the same.

[0030] Step S12: Determine the first operating data based on the purification control data corresponding to the relevant production drug.

[0031] The purification control data here refers to the control data of the chromatography equipment. The data type of the purification control data corresponding to the relevant drug being produced is the same as the data type of the first operating data. Optionally, the data types include: chromatography pressure, chromatography flow rate, chromatography temperature, and the pH value of the eluent. In addition, for photosensitive target compounds, the data type here also needs to detect the light intensity value in the environment.

[0032] Therefore, it can be seen that by comparing physicochemical data, the relevant production drugs can be identified, thereby improving the accuracy of the selected first operating data.

[0033] In this embodiment, the relevant production drug is determined based on the physicochemical data, and the first operating data is determined based on the purification control data corresponding to the relevant production drug. This makes the first operating data the extraction and storage control data of the production drug that is similar to the target product, thereby increasing the probability of obtaining excellent extraction results.

[0034] Furthermore, based on the first or second embodiment, a third embodiment of the drug extraction method based on molecular biology technology of the present invention is proposed. In this embodiment, the step of determining the relevant production drug based on the physicochemical data includes: The physicochemical data is vectorized and added to the drug feature space to obtain the target product coordinates in the drug feature space. The drug feature space includes the corresponding drug space coordinates of multiple drugs produced. In this embodiment, the target product coordinates corresponding to the physicochemical data vector are generated according to the rules corresponding to the drug feature space. The drug feature space includes multiple drug space coordinates corresponding to the produced drugs.

[0035] The neighboring production drugs are determined as the relevant production drugs based on the target product coordinates and drug spatial coordinates.

[0036] Optionally, a first distance between each drug spatial coordinate and the target product coordinate is calculated, and the drug corresponding to the drug spatial coordinate with the smallest first distance is selected as the relevant production drug. Optionally, more than one drug spatial coordinate can be selected as the relevant production drug based on the first distance, and the first operating data can be determined based on the purification control data corresponding to the more than one relevant production drug.

[0037] In this embodiment, by vectorizing the physicochemical data and adding it to the drug feature space, and calculating the first distance between the spatial coordinates of each drug and the coordinates of the target product, it is possible to accurately identify related production drugs with similar physicochemical data.

[0038] Furthermore, if the number of related production drugs is more than one, the step of determining the first operating data based on the purification control data corresponding to the related production drugs includes: By statistically analyzing the purification control data for each relevant drug production, the distribution information of various types of purification control data can be obtained. The first running data is determined based on the distribution information.

[0039] It should be noted that the purification control data here represents the optimal chromatographic separation result for each relevant drug being produced. Optionally, different drug weights can be assigned based on the reciprocal of the first distance; the larger the first distance, the larger the corresponding drug weight. The first operating data is obtained by weighted calculation based on the purification control data and drug weights for each relevant drug being produced.

[0040] In this embodiment, the purification control data corresponding to each relevant drug production is statistically analyzed to obtain the distribution information of each type of purification control data, and the first operating data is determined based on the distribution information, thereby improving the accuracy of the first operating data.

[0041] Furthermore, based on any of the above embodiments, a fourth embodiment of the drug extraction method based on molecular biology technology of the present invention is proposed. In this embodiment, the step of predicting the extraction result of the target product based on the first matching vector and the preset clustering recognition space includes: The first matching vector is converted into the first matching coordinates in the preset clustering recognition space; In this embodiment, it should be noted that the difference between the preset clustering identification space and the drug feature space is that the preset clustering identification space has more data dimensions than the drug feature space, that is, compared to the drug feature space, it includes the data dimensions corresponding to the control data of the operation of the chromatography equipment. Furthermore, the preset clustering identification space includes not only the optimal purification control data for drug production, but also the coordinates of the chromatography control data corresponding to the drug production process during the experiment.

[0042] Search for all second matching coordinates within the neighborhood of the first matching coordinate; In this embodiment, the range of the field can be preset, for example, selecting coordinates with a distance less than a threshold as the second matching coordinates.

[0043] The predicted extraction results corresponding to the second matching coordinates are statistically analyzed to obtain the probability of each predicted extraction result.

[0044] In this embodiment, by calculating the second matching coordinate in the neighborhood of the first matching coordinate, the probability of each predicted extraction result is calculated based on the extraction result of the product corresponding to the second matching coordinate. The extraction result here is the feature value corresponding to the elution peak, where the feature value is the symmetry factor, half-width at half-maximum, and recovery rate.

[0045] In other embodiments, a tree-based spatial search method is used. In this embodiment, the dimension with the largest data variance among the dimensions that have not yet been partitioned in the current preset clustering identification space is selected, and the preset clustering identification space is partitioned based on the median point of the dimension with the largest data variance. This constructs a spatial partitioning tree. An initial leaf node is determined by traversing downwards along the tree based on the first matching coordinates. A second distance is calculated between the initial leaf node and all position coordinates within the interval corresponding to the initial leaf node, and the minimum second distance and its corresponding second matching coordinate are determined. The minimum second distance is the second minimum distance. Based on the initial leaf node, backtracking upwards is performed to determine the parent node of the previous level. A third distance is calculated from the first matching coordinate to the partitioning hyperplane corresponding to the parent node. The second minimum distance and the third distance are compared. When the second minimum distance is less than or equal to the third distance, the retrieval of the other branch of the parent node is skipped. When the second minimum distance is greater than the third distance, the second distance between the coordinates of each point in the corresponding region within the other branch of the parent node and the first matching coordinate is calculated. When there is a second distance less than the second minimum distance, the second minimum distance is updated based on the second distance. The current node is determined and updated, and the process of backtracking upwards to determine the parent node of the previous level is returned.

[0046] In other embodiments, spatial partitioning trees can effectively reduce the search range required.

[0047] Furthermore, based on any of the above embodiments, a fourth embodiment of the drug extraction method based on molecular biology technology of the present invention is proposed. In this embodiment, the step of generating a first matching vector based on the physicochemical data and the first operational data includes: Normalize the physicochemical data and the first operating data; The physicochemical data and the first operational data are then mapped to vectors according to a preset relationship to obtain the first matching vector.

[0048] First, the physicochemical data and the first operational data are normalized to eliminate dimensional differences between different data dimensions and ensure that all feature parameters participate in the calculation at the same scale. Specifically, min-max normalization or Z-score normalization is used to linearly transform the original data to the [0,1] interval or conform to a standard normal distribution. The normalized physicochemical data and the first operational data are then mapped to a multidimensional vector space according to a preset weight relationship.

[0049] In this embodiment, the first matching vector is obtained by normalizing the physicochemical data and the first operational data, and mapping the physicochemical data and the first operational data to vectors according to a preset relationship, thereby improving the standardization of the data.

[0050] Furthermore, this invention also proposes a drug extraction system based on molecular biology technology, the drug extraction system based on molecular biology technology comprising: The drug extraction module includes: a chromatography column, a constant flow pump, an injector, and a collector. The output end of the constant flow pump is connected to the inlet of the chromatography column. The injector is connected to the chromatography column through a valve. The collector receives the eluent output from the chromatography column. The computation module is used to acquire the physicochemical data of the target product and determine the first operating data of the chromatography equipment based on the physicochemical data. The physicochemical data includes: molecular weight, isoelectric point, hydrophobicity, pH tolerance range, and temperature sensitivity. A first matching vector is generated based on the physicochemical data and the first operating data. The predicted extraction result of the target product is predicted based on the first matching vector and a preset clustering recognition space. The control module is used to control the constant flow pump based on the first operating data and the predicted extraction result.

[0051] Preferably, the control module employs PID control, dynamically adjusting the constant flow pump, temperature control device, valve controller, and other devices based on the predicted extraction results output by the calculation module. This achieves efficient drug extraction. Furthermore, if the eluent's pH is too high, an appropriate amount of acidic buffer, such as potassium dihydrogen phosphate solution, can be added, stirred thoroughly, and the pH retested. If the pH is too low, an alkaline buffer, such as sodium bicarbonate solution, can be added.

[0052] Furthermore, the first operating data includes: chromatography pressure, chromatography flow rate, chromatography temperature, and pH value of the eluent.

[0053] Furthermore, the drug extraction system based on molecular biology technology also includes: The monitoring module includes a pressure sensor, a temperature sensor, a pH sensor, and an ultraviolet spectrophotometer, which detects the optical data of the target product.

[0054] Ultraviolet spectrophotometers are mainly used to detect the content and purity of target products in eluents. In some embodiments, other impurities or contaminants besides the target product are also detected. Elution curves are plotted based on the optical data of the target product. Specifically, the collected optical data are arranged in order of time or elution volume, and a curve showing the change in light absorption intensity over time or elution volume is plotted, i.e., the elution curve. Optionally, a preset clustering recognition space is updated based on the elution curve, physicochemical data, and first operating data. The step of determining the first operating data of the chromatography equipment based on the physicochemical data is then determined based on the elution curve.

[0055] Furthermore, this invention also proposes a chromatography apparatus, characterized in that the chromatography apparatus includes: a memory, a processor, and a drug extraction program based on molecular biology technology stored in the memory and executable on the processor, wherein the drug extraction program based on molecular biology technology is configured to implement the steps of any of the embodiments of the drug extraction method based on molecular biology technology described above.

[0056] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0057] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0058] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0059] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A drug extraction system based on molecular biology technology, characterized in that, The drug extraction system based on molecular biology technology includes: The drug extraction module includes: a chromatography column, a constant flow pump, an injector, and a collector. The output end of the constant flow pump is connected to the inlet of the chromatography column. The injector is connected to the chromatography column through a valve. The collector receives the eluent output from the chromatography column. The computation module is used to acquire the physicochemical data of the target product and determine the first operating data of the chromatography equipment based on the physicochemical data. The physicochemical data includes: molecular weight, isoelectric point, hydrophobicity, pH tolerance range, and temperature sensitivity. A first matching vector is generated based on the physicochemical data and the first operating data. The predicted extraction result of the target product is predicted based on the first matching vector and a preset clustering recognition space. The control module is used to control the constant flow pump based on the first operating data and the predicted extraction result.

2. The drug extraction system based on molecular biology technology as described in claim 1, characterized in that, The first set of operational data includes: chromatography pressure, chromatography flow rate, chromatography temperature, and pH value of the eluent.

3. The drug extraction system based on molecular biology technology as described in claim 2, characterized in that, The drug extraction system based on molecular biology technology also includes: The monitoring module includes a pressure sensor, a temperature sensor, a pH sensor, and an ultraviolet spectrophotometer, which detects the optical data of the target product.

4. A drug extraction method based on molecular biology techniques, characterized in that, The steps of the drug extraction method based on molecular biology technology include: Acquire the physicochemical data of the target product, and determine the first operating data of the chromatography equipment based on the physicochemical data, wherein the physicochemical data includes: molecular weight, isoelectric point, hydrophobicity, pH tolerance range, and temperature sensitivity; A first matching vector is generated based on the physicochemical data and the first operational data; The prediction and extraction results of the target product are predicted based on the first matching vector and the preset clustering recognition space.

5. The drug extraction method based on molecular biology technology as described in claim 1, characterized in that, The step of determining the first operating data of the chromatography equipment based on the physicochemical data includes: The relevant production drugs are determined based on the physicochemical data, and the relevant production drugs are production drugs for which the purification process has been determined. The first operating data is determined based on the purification control data corresponding to the relevant drug production.

6. The drug extraction method based on molecular biology technology as described in claim 5, characterized in that, The step of determining the relevant pharmaceutical production drug based on the physicochemical data includes: The physicochemical data is vectorized and added to the drug feature space to obtain the target product coordinates in the drug feature space. The drug feature space includes the corresponding drug space coordinates of multiple drugs produced. The neighboring production drugs are determined as the relevant production drugs based on the target product coordinates and drug spatial coordinates.

7. The drug extraction method based on molecular biology technology as described in claim 5, characterized in that, The number of related production drugs is more than one, and the step of determining the first operating data based on the purification control data corresponding to the related production drugs includes: By statistically analyzing the purification control data for each relevant drug production, the distribution information of various types of purification control data can be obtained. The first running data is determined based on the distribution information.

8. The drug extraction method based on molecular biology technology as described in claim 4, characterized in that, The step of predicting and extracting the target product based on the first matching vector and the preset clustering recognition space includes: The first matching vector is converted into the first matching coordinates in the preset clustering recognition space; Search for all second matching coordinates within the neighborhood of the first matching coordinate; The predicted extraction results corresponding to the second matching coordinates are statistically analyzed to obtain the probability of each predicted extraction result.

9. The drug extraction method based on molecular biology technology as described in any one of claims 4 to 8, characterized in that, The step of generating the first matching vector based on the physicochemical data and the first operational data includes: Normalize the physicochemical data and the first operating data; The physicochemical data and the first operational data are then mapped to vectors according to a preset relationship to obtain the first matching vector.

10. A chromatography apparatus, characterized in that, The chromatography apparatus includes: a memory, a processor, and a drug extraction program based on molecular biology technology stored in the memory and executable on the processor, the drug extraction program based on molecular biology technology being configured to implement the steps of the drug extraction method based on molecular biology technology as described in any one of claims 4 to 9.

Images