Data and text mining help identify key proteins involved in the molecular mechanisms shared by SARS-CoV-2 and HIV-1 - «Национальный агрегатор открытых репозиториев российских университетов» (НОРА)

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Data and text mining help identify key proteins involved in the molecular mechanisms shared by SARS-CoV-2 and HIV-1

Дата публикации: 2021-04-27

Дата публикации в реестре: 2021-10-05T18:21:31Z

Аннотация:

Ключевые слова:
antiinflammatory agent, antivirus agent, complement, differentiation antigen, immunologic factor, interferon, interleukin derivative, ITCH protein, human, leu-13 antigen, repressor protein, toll like receptor, ubiquitin protein ligase, Betacoronavirus, Coronavirus infection, data mining, drug effect, gene expression regulation, genetic database, genetics, host pathogen interaction, human, Human immunodeficiency virus 1, Human immunodeficiency virus infection, immunology, inflammation, innate immunity, metabolism, pandemic, pathogenicity, procedures, signal transduction, virus pneumonia, Anti-Inflammatory Agents, Antigens, Differentiation, Antiviral Agents, Betacoronavirus, Complement System Proteins, Coronavirus Infections, Data Mining, Databases, Genetic, Gene Expression Regulation, HIV Infections, HIV-1, Host-Pathogen Interactions, Humans, Immunity, Innate, Immunologic Factors, Inflammation, Interferons, Interleukins, Metabolic Networks and Pathways, Pandemics, Pneumonia, Viral, Repressor Proteins, Signal Transduction, Toll-Like Receptors, Ubiquitin-Protein Ligases

Тип: info:eu-repo/semantics/journal-article

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