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68results about How to "Low mutation rate" patented technology

Method for predicting membrane protein beta-barrel transmembrane area based on sparse coding and chain training

The invention provides a method for predicting a membrane protein beta-barrel transmembrane area based on sparse coding and chain training and relates to a sparse coding technology, a chain learning algorithm and a support vector machine. Structure prediction is conducted on the membrane protein beta-barrel transmembrane area through a computing method, and important information is provided for the research of the structures and functions of proteins. According to the method, the concept of digital image processing is introduced creatively, sparse coding is conducted on a protein feature matrix, and feature dimensionality reduction and denoising are achieved; a membrane protein beta-barrel data set is organized in a protein database PDB, a position-specific scoring matrix and a Z score are extracted and used as features, the position-specific scoring matrix represents amino acid evolution information, the Z score represents the position information of amino acid residues, a feature vector is extracted through a sliding window, multi-feature fusion is achieved, a chain learning algorithm training model based on a SVM classifier is provided, a predication effect is remarkably improved, and a Jakenife cross validation result shows that the precision can reach 92.5%.
Owner:SHANGHAI JIAO TONG UNIV

Quick detection kit for chicken-origin ingredient in food and feed and application of quick detection kit

The invention provides a quick detection kit for a chicken-origin ingredient in food and feed and relates to the technical field of biological species identification. A general chicken-origin internal standard gene Actb is screened first; a nucleotide sequence of the gene Actb is as shown as SEQ ID NO.1 (Sequence Identifier Number 1); the gene Actb is located on a chromosome; single copy is easy to quantify; and the gene Actb has a constant copy number in chicken species, without allelic variation and can serve as a target gene for chicken-origin identification. LAMP amplification primers are designed by taking the gene as a target sequence; nucleotide sequences of the LAMP amplification primers are as shown as SEQ ID NO. 2-5; the LAMP amplification primers and an LAMP reaction solution constitute the detection kit; the detection kit can detect the chicken-origin ingredient in the food and the feed quickly and sensitively, and the sensitivity reaches 10pg. The kit is simple in use method, low in cost, high in specificity and very applicable to field real-time detection and has a wide application prospect in animal-origin food surveillance and meat product adulteration defense, and a reaction result is easy to observe.
Owner:CHINA AGRI UNIV

Primer-free gene synthesis method

The invention discloses a primer-free gene synthesis method and belongs to the field of artificial synthesis of genes. The invention discloses a pNew carrier plasmid, and the pNew carrier plasmid has a nucleotide sequence shown in the formula of SEQ ID NO.33. The invention also discloses a carrier bank which is constructed from pNew carrier plasmids and contains 16384(47) plasmids. The invention further discloses a primer-free gene synthesis method. The primer-free gene synthesis method comprises the following steps of 1, carrying out grouping on targeted gene DNA sequences to be synthesized according to a ratio of 82bp per fragment, 2, finding plasmids corresponding to the grouped fragments in the constructed plasmid bank, 3, carrying out enzyme digestion on the corresponding plasmids, carrying out screening by antibiotic and carrying out reconstruction to obtain a plasmid containing 82bp of the targeted gene sequences, and 4, splicing the gene fragments by a golden-gate cloning reaction to obtain a complete targeted gene. The primer-free gene synthesis method is free of primers, has a low synthesis cost, a very low mutation rate and high accuracy, can synthesize special gene sequences such as a highly repetitive sequence and Poly A, has simple processes and can realize automatic operation.
Owner:WUHAN GENECREATE BIOLOGICAL ENG CO LTD +1

Fast detection kit of donkey-origin component in food and application thereof

The invention provides a fast detection kit of a donkey-origin component in food, and relates to the technical field of biological species identification. According to the fast detection kit of the donkey-origin component in the food, firstly, a donkey-origin universal endogenous reference gene LOC106825524 is screened out, a nucleotide sequence of the donkey-origin universal endogenous referencegene LOC106825524 is as shown in SEQ ID NO.1, and a copy number of the donkey-origin universal endogenous reference gene LOC106825524 in the donkey species is constant so that the donkey-origin universal endogenous reference gene LOC106825524 can be used as a target gene for identifying a donkey origin. By using the gene as a target sequence, PCR amplification primers are designed, the PCR amplification primers and PCR reaction liquid amplify together, and a PCR reaction product is used for platinum-palladium nanoparticle immunochromatographic test strip detection. PCR reaction in combinationwith platinum-palladium nanoparticle-based immunochromatographic test strip detection forms the fast detection kit, the donkey-origin component in the food can be detected fast and sensitively, and the detection sensitivity can reach 0.8%. The kit is simple in use method and low in cost, a reaction result is easy to observe, the specificity is good, and the kit is suitable for on-site real-time detection, and has wide application prospects on the aspects of animal-origin food surveillance and meat product adulteration resistance.
Owner:CHINA AGRI UNIV

Ancestral polymorphism prediction method based on big data artificial intelligence algorithm

PendingCN112233724AHighly polymorphicGood predictive analyticsBiostatisticsProteomicsStructure analysisAlgorithm
The invention discloses an ancestral polymorphism prediction method based on a big data artificial intelligence algorithm. The method comprises the following steps: S1, selecting thousand-person genome data; S2, screening a plurality of microhaplotype sites from a part of different crowds, and carrying out size classification according to the average effective allele number of the different crowds; S3, carrying out group structure analysis on part of different crowds, and carrying out source classification on the different crowds; and S4, selecting a plurality of microhaplotype sites accordingto the information degree value and the average effective allele value. According to the invention, the microhaplotype is used for detecting and classifying the genes of the crowds, so that the method has the advantages of good high polymorphism, low mutation rate and length, can well predict and analyze the genes and sources of the crowds, and is high in accuracy; a plurality of diallelic SNP loci, a plurality of triallelic SNP loci and a plurality of microhaplotype loci are selected according to indexes such as information degree, fixed indexes and effective allele number, so that the accuracy of ancestral sources is respectively high.
Owner:深圳市盛景基因生物科技有限公司
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