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98 results about "Genetic selection" patented technology

Genetic system and self-cleaving inteins derived therefrom, bioseparations and protein purification employing same, and methods for determining critical, generalizable amino acid residues for varying intein activity

A self-cleaving element for use in bioseparations has been derived from a naturally occurring, 43 kDa protein splicing element (intein) through a combination of protein engineering and random mutagenesis. A mini-intein (18 kDa) previously engineered for reduced size had compromised activity and was therefore subjected to random mutagenesis and genetic selection. In one selection a mini-intein was isolated with restored splicing activity, while in another, a mutant was isolated with enhanced, pH-sensitive C-terminal cleavage activity. The enhanced cleavage mutant has utility in affinity fusion-based protein purification. The enhanced splicing mutant has utility in purification of proteins such as toxic proteins, for example, by inactivation with the intein in a specific region and controllable splicing. These mutants also provide new insights into the structural and functional roles of some conserved residues in protein splicing. Thus, disclosed and claimed are: a genetic system and self-cleaving inteins therefrom; bioseparations employing same; protein purification by inactivation with inteins in specific regions and controllable intein splicing; methods for determining critical, generalizable residues for varying intein activity; and products.
Owner:RENESSELAER POLYTECHNIC INST +1

A method for estimating genomic breeding value integrating dominance effects

The invention discloses a genome breeding value estimation method for integrating dominant effect, which relates to the technical field of livestock and poultry genetic selection. The method comprisessteps identifying a reference group and a candidate group, the phenotype of the target traits of the reference population was determined, Genome-wide marker typing of reference population, quality control of gene marker of reference population, statistics of heterozygous marker deviation of reference population, formulation of genome marker re-coding rules, genome-wide marker typing of candidatepopulation, quality control of gene marker of candidate population, re-coding of genome marker and estimation of genome breeding value, etc. Based on the deviation degree between the phenotype of theheterozygous genotype and the phenotype of the homozygous genotype, the invention formulates coding rules, starts from the genomic marker end, re-codes the heterozygous genotype, causes the gene marker coding to include dominant effect, and then estimates the genomic breeding value. The invention is adapted to the needs of livestock and poultry genetic breeding, and can greatly improve the accuracy of genome estimation breeding value without increasing the complexity of the model.
Owner:ANIMAL SCI RES INST GUANGDONG ACADEMY OF AGRI SCI

Microsatellite marking method applicable to parentage determination of hard clam

InactiveCN102719527AThe design principle is feasibleEasy to markMicrobiological testing/measurementMagnetic beadGenetics
The invention relates to a molecular assisted technology for genetic breeding, in particular to a microsatellite marking method applicable to parentage determination of hard clam. The microsatellite marking method comprises four steps of obtaining microsatellite loci source, designing a primer, optimizing the primer and establishing a microsatellite marker parentage determination system, and the specific process is as follows: firstly using a bead enriching library method to screen microsatellite sequences, and using a microsatellite retrieval software to carry out rapid separation of microsatellite fragments; designing a primer on a microsatellite repeated flanking sequence, optimizing the primer and leading the primer to become a microsatellite marker; then carrying out a comprehensive evaluation on repeatability, stability and polymorphism information content value during the amplification process of the microsatellite marker, and determining the microsatellite markers therein as the microsatellite parentage determination system of the hard clam for differentiation among different parentages of the hard clam or identification and determination among individuals. According to the invention, a molecular marking method for genetic breeding of the hard clam is provided.
Owner:INST OF OCEANOLOGY - CHINESE ACAD OF SCI

Thermostable polymerases having altered fidelity and methods of identifying and using same

InactiveUS6982144B2Altered fidelityExact copySugar derivativesHydrolasesDiseaseRandom population
The present invention provides a method for identifying a thermostable polymerase having altered fidelity. The method consists of generating a random population of polymerase mutants by mutating at least one amino acid residue of a thermostable polymerase and screening the population for one or more active polymerase mutants by genetic selection. For example, the invention provides a method for identifying a thermostable polymerase having altered fidelity by mutating at least one amino acid residue in an active site O-helix of a thermostable polymerase. The invention also provides thermostable polymerases and nucleic acids encoding thermostable polymerases having altered fidelity, for example, high fidelity polymerases and low fidelity polymerases. The invention additionally provides a method for identifying one or more mutations in a gene by amplifying the gene with a high fidelity polymerase. The invention further provides a method for accurately copying repetitive nucleotide sequences using a high fidelity polymerase mutant. The invention also provides a method for diagnosing a genetic disease using a high fidelity polymerase mutant. The invention further provides a method for randomly mutagenizing a gene by amplifying the gene using a low fidelity polymerase mutant.
Owner:UNIV OF WASHINGTON

Greedy genetic algorithm-based pot seedling thin planting and transplantation path optimization method

The invention discloses a greedy genetic algorithm-based pot seedling thin planting and transplantation path optimization method. Health information of pot seedlings in a transplantation hole tray of a greenhouse pot seedling thin planting and transplantation machine is obtained through machine vision, and healthy seedling hole positions in the transplantation hole tray and empty hole positions in a target hole tray are subjected to label coding respectively; a greedy genetic selection principle is that the empty holes in the target hole tray are partitioned by column for carrying out current path optimization of a local genetic algorithm; the coding of a column of empty holes in the target hole tray is integrated with the coding of unplanned seedling holes in the transplantation hole tray, random path coding is generated, an initial population of the local genetic algorithm is formed, the selection, crossing, variation and reinsertion operations are circularly carried out until preset convergence generations, and individuals with maximum population fitness serve as local optimal paths; and the successive columns of planned local optimal paths are combined to generate a thin planting and transplantation path of the whole target hole tray. According to the method, an optimal path for greenhouse pot seedling thin planting and transplantation can be generated, the transplantation efficiency can be improved, and the real-time planning requirements of a control system are met.
Owner:ZHEJIANG SCI-TECH UNIV

Screening and use of agents which block or activate intein splicing utilizing natural or homologous exteins

In accordance with the present invention, there are provided selection systems and methods for screening for agents that control splicing of inteins in their native host protein (extein) or in homologous exteins. Specifically, there are provided positive genetic selection systems for the screening of agents which inhibit or activate protein splicing which comprise: a host cell containing a chromosomal gene encoding either a drug-resistant form of a target enzyme or a wild-type target enzyme, and a plasmid-borne gene encoding either a drug-sensitive form of the target enzyme, which is dominantly cytotoxic upon interaction with the drug, or a dominantly cytotoxic form of the target enzyme. In these systems the plasmid-borne gene contains an intein, and the inhibition or activation of splicing of the dominant cytotoxic form of the target enzyme by a given reagent results in the survival or death of the host cell. More specifically, positive genetic selection systems which utilize the M. xenopi GyrA intein or M. tuberculosis DnaB helicase intein are provided. Similar reporter systems utilizing native or homologous exteins and systems utilizing controllable inteins are provided, as are methods of controlling in vivo expression of proteins by modulating protein splicing with inhibiting or activating agents, and methods of controlling the delivery of proteinaceous drugs in vivo by modulating protein splicing.
Owner:NEW ENGLAND BIOLABS

Pattern recognition method and device based on convolutional neural network and computer equipment

The invention provides a pattern recognition method and device based on a convolutional neural network and computer equipment. The pattern recognition method comprises the following steps: determininga plurality of initial neural units; taking the plurality of initial neural units as basic genes of a genetic algorithm to perform iterative computation, wherein genetic selection is performed according to the accuracy of pattern recognition of chromosome individuals in an iterative process, and the higher the accuracy of pattern recognition of the chromosome individuals is, the lower the probability that the chromosome individuals are mutated and crossed; when the iteration result meets a preset termination condition, constructing a target convolutional neural network according to the chromosome individuals of which the accuracy meets a first preset threshold; and inputting the to-be-identified object into the target convolutional neural network to obtain a mode identification result corresponding to the to-be-identified object, wherein the pattern recognition result can be stored in a block chain. According to the pattern recognition method and device, the workload of workers in theprocess of constructing the convolutional neural network model can be reduced, and the efficiency of pattern recognition is improved.
Owner:深圳平安医疗健康科技服务有限公司
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