Article ; Online: Interaction of Drug Candidates with Various SARS-CoV-2 Receptors: An in Silico Study to Combat COVID-19.
2020 Volume 19, Issue 11, Page(s) 4567–4575
Abstract: The world is currently facing the COVID-19 pandemic caused by the SARS-CoV-2 virus. The pandemic is causing the death of people around the world, and public and social health measures to slow or prevent the spread of COVID-19 are being implemented with ... ...
Abstract | The world is currently facing the COVID-19 pandemic caused by the SARS-CoV-2 virus. The pandemic is causing the death of people around the world, and public and social health measures to slow or prevent the spread of COVID-19 are being implemented with the involvement of all members of society. Research institutions are accelerating the discovery of vaccines and therapies for COVID-19. In this work, molecular docking was used to study (in silico) the interaction of 24 ligands, divided into four groups, with four SARS-CoV-2 receptors, Nsp9 replicase, main protease (Mpro), NSP15 endoribonuclease, and spike protein (S-protein) interacting with human ACE2. The results showed that the antimalarial drug Metaquine and anti-HIV antiretroviral Saquinavir interacted with all the studied receptors, indicating that they are potential candidates for multitarget drugs for COVID-19. |
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MeSH term(s) | Antiviral Agents/chemistry ; Antiviral Agents/metabolism ; Betacoronavirus/chemistry ; Betacoronavirus/metabolism ; COVID-19 ; Coronavirus Infections/drug therapy ; Coronavirus Infections/virology ; Drug Discovery/methods ; Humans ; Molecular Docking Simulation ; Pandemics ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/virology ; Protein Binding ; SARS-CoV-2 ; Viral Proteins/chemistry ; Viral Proteins/metabolism |
Chemical Substances | Antiviral Agents ; Viral Proteins |
Keywords | covid19 |
Language | English |
Publishing date | 2020-08-11 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2078618-9 |
ISSN | 1535-3907 ; 1535-3893 |
ISSN (online) | 1535-3907 |
ISSN | 1535-3893 |
DOI | 10.1021/acs.jproteome.0c00327 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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