18 results about "Virus host" patented technology

The invention discloses an identification and analysis method for unknown pathogenic microorganisms, which comprises the following steps: filtering out genome sequences with low integrity, pollution and tag errors, and establishing a high-quality virus identification database; constructing a virus host prediction model through a machine learning algorithm; unknown pathogenic microorganisms are identified and analyzed, potential hosts or pathogenicity of the unknown microorganisms are identified, and whether the unknown microorganisms are unknown pathogenic viruses or bacteria or not is further judged. On the basis of metagenome data analysis, potential unknown pathogenic microorganisms in samples of human bodies, environments and the like can be identified more accurately.

The application discloses a method for detecting residual fragment distribution of recombinant lentivirus host cell DNA, which uses real-time fluorescent quantitative PCR to accurately detect HEK293T host cell DNA residual in 122bp, 244bp and 562bp three fragment length distribution in a recombinant lentivirus sample. The method of the application adopts a novel prepGEM enzyme to crack the rLVV virus, and the virus is cracked within 5-15 minutes, the enzyme is inactivated within 2-10 minutes, the virus sample amount is small, and the virus cracking solution can be directly applied to a real-time fluorescent quantitative PCR reaction. Compared with the magnetic bead method, the prepGEM enzyme cracking method is more stable and reasonable, and the variance and CV are smaller.

The invention discloses a device and method for screening key mutations affecting virus host adaptability based on a deep learning model, and the method comprises the following steps: 1) based on a specified pathogen type, collecting gene sequence data of a pathogen and adopted host information, and preprocessing the collected data, constructing a model training data set and a test data set; 2) performing feature extraction on the collected sequence data to obtain a feature matrix of each sequence; 3) constructing a deep learning convolutional neural network model to perform data training and feature learning on the training data set; according to the method, the problem that measurement is inaccurate due to the fact that homology between virus hosts is high is solved, and the method has more accurate host adaptability prediction capacity and key mutation screening capacity.

The application discloses an antiviral polypeptide targeting virus-host interaction and application, the polypeptide is composed of 1-17 amino acids of ARF1, a transmembrane peptide TAT and an intermediate connecting peptide, and the amino acid sequence is shown as SEQ ID NO:1; the polypeptide provides a new strategy for the prevention and control of RNA viruses, and also provides a new theoretical basis for accelerating the research and development of broad-spectrum antiviral polypeptide small molecule drugs.

The invention discloses an application of an eIF2alpha kinase regulator in preparation of an anti-human coronavirus drug. Specifically, the compound provided by the invention has the activity of resisting human coronavirus HCoV-OC43 and / or resisting new coronavirus of human coronavirus. The invention focuses on antiviral host factors, provides a target compound for targeting host eIF2alpha kinase, eIF2alpha phosphorylation and protein synthesis, plays an antiviral role by accurately regulating and controlling host virus interaction, and is beneficial to overcoming virus resistance and obtaining broad-spectrum antiviral activity.

The application provides a lung organ culture medium and application thereof, and particularly, the culture medium comprises a basic culture medium, G27, hEGF, a BMP inhibitor, a ROCK inhibitor, L-glutamine, HEPES, an antibiotic, and at least one selected from the group consisting of nicotinamide, a Wnt agonist, N-acetylcysteine and a TGF-beta inhibitor. The lung organ and the virus infection model thereof cultured by the culture medium are a good-repeatability and standardized infection model, can fully simulate the virus infection condition of a natural virus host, and are suitable for research on a virus pathogenesis, high-throughput screening of antiviral drugs, toxicity evaluation and drug research and development.

The application discloses a macrovirus group data analysis method, and belongs to the technical field of macrovirology. The method comprises the following steps: sequence quality control, sequence assembly, sequence clustering, virus sequence identification, virus sequence checking, virus abundance calculation, species annotation, virus lifestyle judgment, virus host prediction and virus auxiliary metabolism gene analysis. The application uses Trimmomatic software, BWA-MEN, Megahit software, CD-HIT and other tools to execute the analysis process of macrovirus group data. Practice proves that the application can accurately identify and annotate virus species, comprehensively and systematically deeply analyze and mine macrovirus group data, the steps are simple and clear, the analysis time is short, and the effect of macrovirus identification research is greatly improved.

The invention relates to the technical field of biological information, and discloses a virus host prediction model and a training method and device.The virus host prediction model comprises a basic model and a classification model, and the basic model comprises an autoregression pre-training model and a low-rank adaptation unit inserted into the autoregression pre-training model; on the basis of the human genome sequence, the sequence characteristic relation of the genome is learned in an autoregression mode, and the sequence characteristic relation is represented as the general representation of the gene sequence; furthermore, a low-rank adaptation unit is added when transfer learning is carried out on the autoregression pre-training model, and the low-rank adaptation unit continuously learns subtle features which are difficult to perceive in a virus sequence by utilizing a causal relationship before and after a gene sequence, so that the sensitivity and the adaptability to virus sequence variation are improved. The virus host prediction model has good generalization ability after being fully trained, and can perform effective potential host prediction on unknown or new virus sequences.

The invention discloses a neutralizing antibody targeting a filovirus host receptor NPC1 and an antibody fusion protein of a broad-spectrum neutralized filovirus and a mutant thereof, the neutralizing antibody is composed of a specific heavy chain and a specific light chain, can specifically bind to an NPC1-C structural domain of the host receptor NPC1 protein, has a clear binding epitope, still has binding activity in an endosome acidic environment, and can be used for preparing a recombinant filovirus. The light chain of the antibody fusion protein constructed on the basis of the neutralizing antibody contains NPC2 protein and flexible Linker, the antibody fusion protein has broad-spectrum neutralizing activity on high-pathogenicity filoviruses and mutant strains thereof, and a new thought and a new strategy are provided for research and development of anti-filovirus infection drugs; good application prospects and industrial conversion values are realized.

The invention belongs to the technical field of medical animal model construction, and particularly relates to a construction method of an animal model for simulating various stages from HPV (human papillomavirus) continuous infection to cervical canceration in a natural infection state and application of the animal model. According to the method, a drug immunosuppressor for promoting HPV infection is combined with MmuPV1 for mouse lower genital tract infection modeling; the constructed animal model is stable and uniform in papilloma virus infection, high in modeling rate, low in fatality rate, short in modeling time, controllable in process and good in reproducibility, can completely reproduce the whole process from HPV continuous infection to cervical canceration, accords with clinical practice, improves the efficiency and quality of model construction, and is suitable for popularization and application. An ideal animal model is provided for follow-up research on an HPV infection carcinogenic mechanism and a virus host interaction mechanism, meanwhile, the model can assist in research, development and screening of clinical treatment methods for preventing and treating cervical lesions at all stages, and clinical transformation, new drug research and development and other work are promoted.

The invention discloses and relates to an antiviral RNA molecule capable of inhibiting porcine diarrhea virus and a design, preparation and toxicity detection method, the antiviral RNA molecule is PEDV-mhRNA, the antiviral RNA molecule is formed by connecting a plurality of siRNAs of S protein coding genes of targeted PEDV in series, an RNAi medicine capable of being used for preventing and treating PEDV is provided for domestic pig breeding, and the antiviral RNA molecule can be used for preventing and treating the PEDV. According to the present invention, the replication and the proliferation of the PEDV in the vero cell can be significantly inhibited, the method can be used for the prevention and the treatment of the PEDV, the RNA is adopted as the anti-virus factor, the characteristics of strong specificity, good anti-virus effect, no harm to the virus host and other organisms and the like are provided, the applicability is strong, the economic benefits of the breeding industry can be improved, and the promotion and application significance is provided.

The invention discloses an analysis method for automatically processing metagenome high-throughput sequencing data binning to obtain a viral genome, which comprises the following steps: acquiring second-generation sequencing original data, and performing data quality control to obtain Reads to be analyzed; a plurality of Reads are assembled into an overlapping group through overlapping of fragments, statistics is conducted on the overlapping group, and a length distribution diagram is drawn; reconstructing a viral genome based on contig binning, and generating a box after sequence clustering; constructing a three-dimensional matrix of all boxes according to the attributes of the sequence, and predicting and identifying the species category of each box; carrying out quality identification on the virus box bin, and detecting and rejecting virus host genes; counting the abundance of the virus box bin in each sample to generate a virus box bin abundance table; constructing a virus annotation database, completing species annotation, constructing a virus evolutionary tree, and finally generating a report. The invention further discloses an analysis system and application for implementing the analysis method.

This invention provides a method for detecting integration sites and quantitatively assessing viral integration efficiency based on targeted capture sequencing. The method includes targeted enrichment and sequencing of samples using a targeted capture sequencing panel; performing virus-host dual-reference alignment and breakpoint clustering on the enriched sequencing data to achieve comprehensive detection of integration sites; and calculating the integration efficiency by comparing the abundance of virus-host fusion reads at each integration site with the total amount of virus-specific reads. This allows for simultaneous quantitative assessment of integration site profiles and integration efficiency in the same sequencing experiment. Compared to the LAM-PCR method, the TES Panel of this invention significantly improves the sensitivity and comprehensiveness of fragmented integration detection through multi-site, multi-fragment targeted capture, providing key technical support for quality control of gene therapy products, risk warning of viral infection-related diseases, and safety assessment.

This invention discloses a method for identifying and analyzing unknown pathogenic microorganisms, comprising the following steps: filtering out genomic sequences with low integrity, contamination, and incorrect labeling to establish a high-quality virus identification database; constructing a virus host prediction model using machine learning algorithms; and performing identification and analysis on the unknown pathogenic microorganisms to identify their potential hosts or pathogenicity, further determining whether they are unknown pathogenic viruses or bacteria. This invention, based on metagenomic data analysis, can more accurately identify potential unknown pathogenic microorganisms in human and environmental samples.

The application discloses a virus-host RNA sequence classification method and device based on AI, and relates to the field of biological detection.The method comprises the following steps: mapping preprocessed short read RNA sequences to a host genome twice, assembling short read RNA sequences which are not mapped to the host genome into continuous RNA sequences, and screening RNA sequences with a length greater than 1000bp from the continuous RNA sequences; and performing AI classification on the RNA sequences with a length greater than 1000bp to obtain virus RNA sequences.The application combines host filtering, rapid assembly and AI classification, can significantly reduce the calculation amount and hardware pressure, realizes efficient and accurate virus sequence classification, and can quickly distinguish unknown viruses.

This invention relates to the field of biotechnology, and particularly to primers and methods for whole-genome sequencing of African swine fever virus (ASFV) based on next-generation sequencing platforms and targeted enrichment. This invention discloses a primer set and method for whole-genome sequencing of ASFV based on next-generation sequencing platforms and targeted enrichment, comprising 32 pairs of specific targeted amplification primers. These primers exhibit high specificity and sensitivity, fully leveraging the advantages of next-generation sequencing—high throughput, low cost, high accuracy, and mature technology—to accurately and completely obtain the entire ASFV genome sequence. This invention can obtain complete genetic information of ASFV, identify and diagnose infections of different ASFV genotypes, and, by analyzing the genetic differences among different strains, determine the geographical origin and transmission dynamics of circulating strains, tracing the evolution of recombinant strains. It provides resources for basic research on virus-host interactions and drug resistance, and offers a theoretical basis for developing long-term prevention and control strategies. It also promotes innovation in diagnostic methods.

The invention discloses a method for identifying viruses infected with dormant bacteria in fluvial sediments and application of the method. The invention relates to the technical field of microbiology and bioinformatics, and solves the problems that dead bacteria DNA interference cannot be effectively distinguished, a dormant host in an environmental sample is difficult to accurately recognize and the false positive rate of virus-host matching is relatively high in the prior art. The method comprises the following steps: carrying out propionium bromide azide treatment on a river sediment sample to obtain active microbial community DNA (Deoxyribonucleic Acid), and carrying out high-throughput sequencing; carrying out multi-module cooperative dormancy characteristic analysis on the assembled bacterial genome, and defining a dormancy host candidate genome; identifying a candidate virus sequence by adopting a triple cross validation mode; and extracting a CRISPR interval sequence in a dormant host genome, and comparing the CRISPR interval sequence with a candidate virus sequence to establish an infection relationship between the virus and the dormant host. According to the method, the false positive rate in the virus-host matching process can be reduced, and accurate identification of the virus infected with the dormant bacteria in a complex environment sample is realized.

The invention discloses a serum-free cell culture medium suitable for grass carp body kidney cells and a method for culturing cells by adopting the serum-free cell culture medium, and belongs to the technical field of biology. Comprising the following steps: (1) carrying out low-serum domestication on grass carp body kidney cells by adopting a stepwise method, carrying out monoclonal screening on cell strains suitable for low-serum growth, and naming the cell strains as cCITK cells; (2) performing serum-free suspension culture domestication on the cCITK cells, and naming the cCITK cells as CITK-S cells; and (3) a serum-free suspension culture medium based on DMEM / F12 is developed. According to the method, the blank of serum-free suspension culture of fish cells is filled, an efficient platform is provided for large-scale amplification of the GCRV II type virus, and meanwhile, a key technical foundation is laid for research of a virus-host interaction mechanism and industrialization of aquatic vaccines.