46 results about "Molecular classification" patented technology

A molecular classification procedure based on activity levels of modules in protein networks, wherein the proteins are biomarkers for chronic lymphocytic leukemia (CLL), and method for use of the subnetworks to distinguish between patients at low or high risk of progression of their disease.

The invention relates to the functional genomic and gene expression detection technology and the analysis technology, and discloses a reagent kit for quantitatively assessing long-term recurrence risks of breast cancer. Particularly, a type of genes capable of being used for breast cancer metastasis and prognostic molecular classification is screened within a human functional genome expression profile range, the detection technology is created, and the reagent kit is prepared and applied to breast cancer metastasis and prognostic assessment for a patient. The reagent kit for quantitatively assessing long-term recurrence risks of breast cancer comprises 21 pairs of primers, 21 specific taqman fluorescent probes, 10XRT-PCR (reverse transcription-polymerase chain reaction) buffer solution, 2.5mM of dNTP (diethyl-nitrophenyl thiophosphate) mixed liquor, reverse transcriptase, DNA (deoxyribose nucleic acid) polymerase, 10XPCR buffer solution and RNA (ribonucleic acid) enzyme inhibitor. The reverse transcription PCR technology is combined with the taqman fluorescent quantitative PCR technology, reverse transcription primers, real-time PCR primers and the taqman fluorescent probes are self-designed and optimized, reverse transcription PCR reagent and taqman fluorescent quantitative PCR reagent are integrated to prepare the detection reagent kit, operation is simple and fast, detection results are more stable, and detection cost is lower.

The present invention discloses a method of gene expression profiling to identify genomic signatures linked to survival specific for a disease and a kit that can be used for performing such a method. Also disclosed herein is the use of such a method in classifying the disease into subsets, predicting clinical outcome and survival of an individual, selecting treatment for an individual suffering from a disease, predicting post-relapse risk and survival of an individual, correlating molecular classification of a disease with genomic signature defining the risk group or a combination thereof.

The invention discloses a preparation method of raw powder of each gram of bacillus subtillis with five hundred billion of live germs, which comprises the following steps: (A) the screening of a Bs strain: collecting a sample from soil and water; weighing the sample on a sterile and ultraclean table and then loading the sample in a small triangular flask; adding sterile water into the triangular flask and standing still the sample; (B) the confirmation of the Bs strain: carrying out molecular classification according to a 16S rDNA sequence and together testing effective basic groups of the 16S rDNAs of the strain and identifying the strain; (C) a culture medium of the Bs: utilizing a single factor experiment to select a factor from numerous carbon sources, nitrogen sources and trace element factors firstly by adopting a response surface experiment designed by Box-Behken and using the germ number as a screening index; (D) using a high-density liquid feed-batch fermentation technology for improving the quantity of fermentation organisms so as to use the culture medium of a response surface method to carry out batch fermentation by using a fermentation early phase, an exponential phase, a stationary phase OD, dissolved oxygen, pH and germ numbers as indexes; (E) carrying out a germ extraction and recovery process; and (F) detecting the number of live germs. The number of the live germs in raw medicine prepared by the process of the bacillus subtillis reaches five hundred billion/gram.

The invention relates to a Python-based ReaxFF force field calculation result data processing method and belongs to the technical field of chemical molecular reaction kinetics. The method comprises steps of step 1, reading and integrating data of a molecular type information specis file; step 2, performing molecular classification of the integrated molecular information output.txt file; and 3, calculating the molecular weight of each product to obtain the molecular mass percentage of each product. The processing method is advantaged in that various data file types generated by simulation can be efficiently and conveniently read, and the time and steps consumed by the data file in format transfer are reduced; the method can conclude molecular types of diversified simulation products, can obtain change of various products along with the time, and provides convenience for the reaction molecular dynamics simulation to explore the pyrolysis combustion micromechanisms under various working conditions and clarify the change rule of products.

The invention provides for molecular classification of disease and, particularly, molecular markers for lung cancer prognosis and therapy selection and methods and systems of use thereof.

The invention relates to apparatus and methods for apparatus for detecting presence or monitoring profession of a disease in a biological subject, comprising a chamber in which the biological subject passes through, and at least one detection transducer in the chamber; wherein at least two types of information among the chemical composition, cellular classification, and molecular classification of the biological subject, are detected and collected for analysis as to whether the disease is likely to be present or progressing with the biological subject.

The invention discloses a molecular classification and identification method for fish eggs. The molecular classification and identification method for fish eggs includes: firstly, respectively extracting DNAs (deoxyribonucleic acids) of fishes in an investigated water area, selecting cytochrome oxidase subunits I (COI) in the mitochondrial DNAs as featured fragments, performing amplification and sequencing, and establishing a DNA fingerprinting database of the mitochondrial (COI) DNAs; and secondly, extracting DNAs of the fish eggs to be identified, amplifying the COI genes and sequencing, and comparing the sequences to sequences in the fingerprinting database so as to identify the categories of the fish eggs. The molecular classification and identification method for fish eggs is simple to operate and accurate in classification and identification.

The invention discloses a kit for detecting CEBPA gene mutation. The invention discloses a special primer composed of primer pairs 1, 2, 3 and 4; primer 1 is composed of DNAs shown as sequence 1 and sequence 2 in a sequence list; the primer pair 2 is composed of DNAs shown as sequence 3 and sequence 4 in the sequence list; primer pair 3 is composed of DNAs shown as sequence 5 and sequence 6 in the sequence list; and primer pair 4 is composed of DNAs shown as sequence 7 and sequence 8 in the sequence list. The invention also provides a special primer containing kit for detecting CEBPA gene mutation. The invention has clinic significance for conventional screening CEBPA gene mutation on AML patients, contributes to further knowing of molecule characteristic of AML patients in China and perfection on gene diagnosis system, is used for more accurate molecular classification, individuation diagnosis and prognosis prediction, thus providing the foundation for selecting appropriate treatment method for patients and having significance on clinic AML diagnosis, layering and prognosis evaluation.

The invention relates to a method of assigning treatment to a breast and/or ovarian cancer patient. More specifically, the invention relates to a method for classification of breast and/or ovarian cancer as BRCA-like or sporadic-like by determining a level of expression of a set of genes and comparing said level of expression to a reference. A patient that is classified as BRCA-like is treated with a DNA-damage inducing agent.

The invention generally relates to a molecular classification of disease and particularly to molecular markers for cancer susceptibility and methods of use thereof. More specifically, the invention relates to the determination, screening, or classification of an individual's genetic risk for breast and ovarian cancer susceptibility.

The invention discloses a deoxyribonucleic acid (DNA) sequence of cricetulus barabensis. In order to provide a method for quickly identifying cricetulus barabensis, the rat species are identified by a morphological characteristics identification method, and COI gene sequences of the species are obtained. The invention also provides a DNA standard gene for detecting the cricetulus barabensis, a primer and a kit thereof. The cricetulus barabensis is identified by adopting the traditional morphological identification combined with a molecular classification method, so that the accuracy and the reliability of species identification can be ensured.

The invention discloses a PCR detection method for quickly detecting large coptotermes formosunus, which comprises conventional PCR detection and real-time fluorescence PCR detection. The PCR detection method comprises the following steps: preparing a DNA template for a sample to be detected, designing a specific primer and/or a probe, establishing a PCR reaction system for PCR amplification, andobserving, recording and photographing on a gel imaging system. With the advantage of high speed, stability, reliability and sensitivity, the PCR detection method for quickly detecting large coptotermes formosunus is applied to the detection of different-grade samples of large coptotermes formosunus, and lays a foundation for China's coptotermes formosunus class in molecular classification and therapid identification of sibling species. The result of study can be directly applied to the quarantine identification of large coptotermes formosunus in inward and outward plant quarantine, and has important significance to the production safety protection of agriculture and forestry, biological balance maintenance, public health safety insurance in China.

This disclosure generally relates to a molecular classification of cancer and particularly to molecular markers for predicting response to cancer therapy, including cancer immune therapy, and methods of use thereof.

The disclosure provides for molecular classification of disease and, particularly, molecular markers for breast cancer prognosis and methods and systems of use thereof.

The invention discloses an information pushing method and device based on drug molecule image classification, relates to the technical field of intelligent medical treatment, and mainly aims to solve the problem of low efficiency of information pushing based on drug molecule structures in the prior art. Comprising the following steps: acquiring drug molecular structure image data of a target drug; performing classification processing on the drug molecular structure image data based on a trained image classification model to obtain a drug molecular classification result; analyzing drug feature information of the drug molecule classification result based on a drug molecule feature distribution sequence, and performing matching based on the drug feature information and symptom feature information of a target symptom; and if the drug feature information is matched with the disease feature information of the target disease, outputting drug feature combination information and drug feature risk information matched with the drug feature information. The method is mainly used for information pushing based on drug molecule image classification.

The invention discloses a deoxyribonucleic acid (DNA) sequence of a narrow-headed vole. The invention aims to provide a method for quickly identifying the narrow-headed vole, wherein the rat species are identified by a morphological characteristic identification method, and COI gene sequences are obtained. The invention also provides a DNA standard gene, a primer and a kit for detecting the narrow-headed vole. The narrow-headed vole is identified by adopting the traditional morphological identification combined with a molecular classification method, so that the accuracy and the reliability of species identification can be ensured.

The present invention is directed towards methods for treating non-alcoholic fatty liver disease (NAFLD) in a patient and determining prognosis of NAFLD in a patient.