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Tytuł pozycji:

Data and Text Mining Help Identify Key Proteins Involved in the Molecular Mechanisms Shared by SARS-CoV-2 and HIV-1.

Tytuł:
Data and Text Mining Help Identify Key Proteins Involved in the Molecular Mechanisms Shared by SARS-CoV-2 and HIV-1.
Autorzy:
Tarasova O; Department for Bioinformatics, Institute of Biomedical Chemistry, 107076 Moscow, Russia.
Ivanov S; Department for Bioinformatics, Institute of Biomedical Chemistry, 107076 Moscow, Russia.; Department of Bioinformatics of Pirogov Russian National Research Medical University, 107076 Moscow, Russia.
Filimonov DA; Department for Bioinformatics, Institute of Biomedical Chemistry, 107076 Moscow, Russia.
Poroikov V; Department for Bioinformatics, Institute of Biomedical Chemistry, 107076 Moscow, Russia.
Źródło:
Molecules (Basel, Switzerland) [Molecules] 2020 Jun 26; Vol. 25 (12). Date of Electronic Publication: 2020 Jun 26.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Basel, Switzerland : MDPI, c1995-
MeSH Terms:
Pandemics*
Coronavirus Infections/*epidemiology
Coronavirus Infections/*metabolism
Data Mining/*methods
HIV Infections/*epidemiology
HIV Infections/*metabolism
Host-Pathogen Interactions/*immunology
Pneumonia, Viral/*epidemiology
Pneumonia, Viral/*metabolism
Anti-Inflammatory Agents/therapeutic use ; Antigens, Differentiation/genetics ; Antigens, Differentiation/immunology ; Antiviral Agents/therapeutic use ; Betacoronavirus/drug effects ; Betacoronavirus/immunology ; Betacoronavirus/pathogenicity ; COVID-19 ; Complement System Proteins/genetics ; Complement System Proteins/immunology ; Coronavirus Infections/drug therapy ; Coronavirus Infections/immunology ; Databases, Genetic ; Gene Expression Regulation ; HIV Infections/drug therapy ; HIV Infections/immunology ; HIV-1/drug effects ; HIV-1/immunology ; HIV-1/pathogenicity ; Host-Pathogen Interactions/drug effects ; Host-Pathogen Interactions/genetics ; Humans ; Immunity, Innate/drug effects ; Immunologic Factors/therapeutic use ; Inflammation ; Interferons/genetics ; Interferons/immunology ; Interleukins/genetics ; Interleukins/immunology ; Metabolic Networks and Pathways/drug effects ; Metabolic Networks and Pathways/genetics ; Metabolic Networks and Pathways/immunology ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/immunology ; Repressor Proteins/genetics ; Repressor Proteins/immunology ; SARS-CoV-2 ; Signal Transduction ; Toll-Like Receptors/genetics ; Toll-Like Receptors/immunology ; Ubiquitin-Protein Ligases/genetics ; Ubiquitin-Protein Ligases/immunology
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Grant Information:
19-75-10097 Russian Science Foundation
Contributed Indexing:
Keywords: HIV-1; SARS; SARS-CoV-2; data mining; text mining; virus–host interactions
Substance Nomenclature:
0 (Anti-Inflammatory Agents)
0 (Antigens, Differentiation)
0 (Antiviral Agents)
0 (Immunologic Factors)
0 (Interleukins)
0 (Repressor Proteins)
0 (Toll-Like Receptors)
0 (leu-13 antigen)
9007-36-7 (Complement System Proteins)
9008-11-1 (Interferons)
EC 2.3.2.26 (ITCH protein, human)
EC 2.3.2.27 (Ubiquitin-Protein Ligases)
Entry Date(s):
Date Created: 20200702 Date Completed: 20200706 Latest Revision: 20201218
Update Code:
20240105
PubMed Central ID:
PMC7357070
DOI:
10.3390/molecules25122944
PMID:
32604797
Czasopismo naukowe
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.
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