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10.3390/molecules25122944

http://scihub22266oqcxt.onion/10.3390/molecules25122944
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32604797!7357070!32604797
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suck abstract from ncbi


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pmid32604797      Molecules 2020 ; 25 (12): ä
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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 #MMPMID32604797
  • Tarasova O; Ivanov S; Filimonov DA; Poroikov V
  • Molecules 2020[Jun]; 25 (12): ä PMID32604797show ga
  • Viruses can be spread from one person to another; therefore, they may cause disorders in many people, sometimes leading to epidemics and even pandemics. New, previously unstudied viruses and some specific mutant or recombinant variants of known viruses constantly appear. An example is a variant of coronaviruses (CoV) causing severe acute respiratory syndrome (SARS), named SARS-CoV-2. Some antiviral drugs, such as remdesivir as well as antiretroviral drugs including darunavir, lopinavir, and ritonavir are suggested to be effective in treating disorders caused by SARS-CoV-2. There are data on the utilization of antiretroviral drugs against SARS-CoV-2. Since there are many studies aimed at the identification of the molecular mechanisms of human immunodeficiency virus type 1 (HIV-1) infection and the development of novel therapeutic approaches against HIV-1, we used HIV-1 for our case study to identify possible molecular pathways shared by SARS-CoV-2 and HIV-1. We applied a text and data mining workflow and identified a list of 46 targets, which can be essential for the development of infections caused by SARS-CoV-2 and HIV-1. We show that SARS-CoV-2 and HIV-1 share some molecular pathways involved in inflammation, immune response, cell cycle regulation.
  • |*Pandemics[MESH]
  • |Anti-Inflammatory Agents/therapeutic use[MESH]
  • |Antigens, Differentiation/genetics/immunology[MESH]
  • |Antiviral Agents/therapeutic use[MESH]
  • |Betacoronavirus/drug effects/immunology/pathogenicity[MESH]
  • |COVID-19[MESH]
  • |Complement System Proteins/genetics/immunology[MESH]
  • |Coronavirus Infections/drug therapy/*epidemiology/immunology/*metabolism[MESH]
  • |Data Mining/*methods[MESH]
  • |Databases, Genetic[MESH]
  • |Gene Expression Regulation[MESH]
  • |HIV Infections/drug therapy/*epidemiology/immunology/*metabolism[MESH]
  • |HIV-1/drug effects/immunology/pathogenicity[MESH]
  • |Host-Pathogen Interactions/drug effects/genetics/*immunology[MESH]
  • |Humans[MESH]
  • |Immunity, Innate/drug effects[MESH]
  • |Immunologic Factors/therapeutic use[MESH]
  • |Inflammation[MESH]
  • |Interferons/genetics/immunology[MESH]
  • |Interleukins/genetics/immunology[MESH]
  • |Metabolic Networks and Pathways/drug effects/genetics/immunology[MESH]
  • |Pneumonia, Viral/drug therapy/*epidemiology/immunology/*metabolism[MESH]
  • |Repressor Proteins/genetics/immunology[MESH]
  • |SARS-CoV-2[MESH]
  • |Signal Transduction[MESH]
  • |Toll-Like Receptors/genetics/immunology[MESH]


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