33 results about "Gene association" patented technology

Disclosed is a network-based drug efficacy-assessing method, and an apparatus. The method comprises: computing a score for association between drugs and diseases by means of at least one of drug-adjacency-based inference, disease-adjacency-based inference, and module-distance-based inference; building a classifier for determining whether the drug is associated with the disease, using machine learning in which the score is employed as a feature; and determining the association between the drug and the disease by use of the classifier. The method and apparatus can search for drug-disease relation in which a drug can exert its pharmaceutical efficacy on a disease on the basis of a network constructed from protein interaction databases and protein-gene association databases, and can evaluate the molecular interaction of the drug to find out new pharmaceutical effects of the drug with higher precision and sensitivity, whereby a time and cost for the development of new drugs can be reduced.

The invention relates to a pathogenic microorganism virulence gene association model and an establishment method and application thereof, and belongs to the technical field of gene detection. The method comprises the following steps: establishing a pathogenic microorganism gene database and a virulence gene database; acquiring pathogenic microorganism metagenome sequencing data of clinical samples to obtain pathogenic microorganisms in each clinical sample and corresponding virulence gene sequence data; carrying out clustering analysis on the sequence data of the pathogenic microorganisms and the sequence data of the virulence genes to obtain a normal distribution model of a single virulence gene and at least one suspected associated pathogenic microorganism, and selecting a model with high pathogenic microorganism abundance and strong correlation between the virulence gene sequence number and the pathogenic microorganism sequence number. The pathogenic microorganism virulence gene correlation model obtained by the method can judge which bacteria each virulence gene comes from, so that the model overcomes the defects of the prior art, and has the advantages of wide application range and high accuracy.

The invention discloses a construction method of a Parkinson's disease genomics association model. The method comprises the following steps: acquiring first genetics data and second genetics data; annotating the first genetics data to obtain annotated data; scoring the annotated data and the second genetics data according to a preset scoring rule; and dividing priority levels according to a scoring result, and constructing a Parkinson's correlation model. The technical problem that the Parkinson's disease and gene association judgment cannot be simply and quickly realized is solved.

The invention provides a tumor gene point mutation feature extraction method combining a contour coefficient and an RJMCMC algorithm, and relates to the technical field of tumor gene feature extraction. The tumor gene point mutation feature extraction method combining the contour coefficient and the RJMCMC algorithm comprises the following steps: S1, data set acquisition: mutation types of a mutation data set comprise Somic SNV and Somic INDEL, and the Somic SNV and the Somic INDEL are subjected to overall statistics by using MuTect software; According to the tumor gene point mutation feature extraction method combining the contour coefficient and the RJMCMC algorithm, an input mode of annotation files is realized, use is convenient, early-stage data processing time is saved, the efficiency is improved, mutation spectrum 3D visual display is realized, researchers can visually see mutation conditions of each type from spatial vision, the comparison effect display of the type is is enhanced, and the contour coefficient is innovatively combined to construct the RJMCMCNMF model and algorithm implementation;code software device design is completed, and a software device for feature spectrum and gene association acquisition is achieved.

The invention discloses a method for acquiring anti-false smut gene associated resistance gene analogs and molecular markers thereof. The method comprises steps of: designing RGA primers for complete genome resistance gene analogs to obtain RGA genotypes of rice germplasms, acquiring 137 anti-false smut phenotypes through a false-smut pathogen microinjection method, combining the RGA genotypes and the anti-false smut phenotypes to perform molecular character association analysis and to perform clone sequencing on PCR products, thus obtaining the resistance gene analogs associated with the anti-false smut gene and the molecular markers thereof. According to the invention, by means of genetic transformation and hybridization, the anti-false smut gene associated resistance gene analogs can be introduced into common cultivated rice varieties to improve resistance of the rice varieties to false smut. The anti-false smut gene associated molecular markers can be used for detecting the existence of the anti-false smut genes, indirectly selecting disease-resistant plants, and protecting identification of inoculated false smut pathogens from being influenced by climate, geographical positions and other uncertain factors, and therefore the anti-false smut gene associated molecular markers can be used for selecting early generation, shortening anti-false smut variety breeding periods, and improving breeding efficiency.

The invention discloses an integrating method of multiple kinds of biological sequence notes. The method comprises the steps of extracting one kind of biological sequencing data from biological sequencing data as a main biological sequence set, and using the rest biological sequencing data as an auxiliary biological sequence set; establishing a sequence-gene association mapping set; acquiring a basic association area and an extended association area of the gene according to a gene transcription starting point; for the sequence of the main biological sequence set, performing traversal on the extended association area of the gene, and if the area with the sequence is intersected with the extended association area of a certain gene, establishing a sequence-gene association mapping between thegene and the sequence; applying reference data on a biological sequence noting result in the sequence-gene association mapping set and calculating the significance by means of ultra-geometric testingand binomial testing; respectively sequencing the notes which are obtained by the two methods, adding the sequence numbers of the same notes, performing sequencing again and using the sequencing result as a note result of multiple kinds of biological sequence data. The integrating method realizes noting of various characteristics and has application value in the medical field.

The invention provides an application of doxepin hydrochloride in preparation of antiviral drugs, and relates to the technical field of medicines, research shows that doxepin hydrochloride shows relatively strong antiviral activity to coxsackie B viruses type 1, type 2 and type 3, the minimum 50% inhibitory concentration (IC50) value is 10.12 +/-0.85 mu M. In addition, it is found that doxepin hydrochloride inhibits virus replication in the early stage of an infection cycle, and doxepin hydrochloride can inhibit virus replication in the early stage of the infection cycle. Meanwhile, some host genes related to a mechanism are found through target spot prediction and gene association network analysis, and foundation and basis are provided for doxepin hydrochloride used for treating coxsackie type B virus infection.

The invention discloses a use method of a haplotype ancestral database. The use method comprises the following steps of: moving an identification frame to identify information of n continuous SNP (Single Nucleotide Polymorphism) sites falling into the identification frame; matching the information of n continuous SNP loci in the recognition frame with the comparison units, and if the comparison units with the same information of the SNP loci cannot be matched, determining that the SNP loci are unknown; if a comparison unit with the same information of the SNP sites can be matched, recording corresponding race information of the comparison unit, calling an identification frame capable of identifying n + 1 continuous SNP sites, and identifying the n + 1 continuous SNP sites containing the n SNP sites which are the same as the comparison unit; and repeating the previous step until the information of a plurality of continuous SNP sites in the identification frame cannot be matched with the comparison unit with the same SNP site information. The method has the advantages that the ancestor tracing speed is high, the error is small, the definition is high, the big data capacity is large, and a basis is provided for finding out disease and gene association, precise medical treatment, molecular detection, medication guidance and other technical researches in the medical field.