Article ; Online: Searching possible SARS-CoV-2 main protease inhibitors in constituents from herbal medicines using
Journal of biomolecular structure & dynamics
2023 Volume 42, Issue 8, Page(s) 4234–4248
Abstract: The largest threat to civilization since the Second World War is the spread of the new coronavirus disease (COVID-19). Therefore, there is an urgent need for innovative therapeutic medicines to treat COVID-19. Reusing bio-actives is a workable and ... ...
Abstract | The largest threat to civilization since the Second World War is the spread of the new coronavirus disease (COVID-19). Therefore, there is an urgent need for innovative therapeutic medicines to treat COVID-19. Reusing bio-actives is a workable and efficient strategy in the battle against new epidemics because the process of developing new drugs is time-consuming. This research aimed to identify which herbal remedies had the highest affinity for the receptor and assess a variety of them for potential targets to suppress the SARS-CoV-2 M |
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MeSH term(s) | Molecular Docking Simulation ; SARS-CoV-2/drug effects ; SARS-CoV-2/enzymology ; Molecular Dynamics Simulation ; Humans ; Coronavirus 3C Proteases/antagonists & inhibitors ; Coronavirus 3C Proteases/chemistry ; Coronavirus 3C Proteases/metabolism ; Protease Inhibitors/chemistry ; Protease Inhibitors/pharmacology ; Antiviral Agents/chemistry ; Antiviral Agents/pharmacology ; COVID-19 Drug Treatment ; Plants, Medicinal/chemistry ; Herbal Medicine ; Protein Binding ; COVID-19/virology ; Computer Simulation ; Binding Sites ; Pentacyclic Triterpenes/chemistry ; Pentacyclic Triterpenes/pharmacology ; Lupanes |
Chemical Substances | Coronavirus 3C Proteases (EC 3.4.22.28) ; Protease Inhibitors ; Antiviral Agents ; Pentacyclic Triterpenes ; lupeol (O268W13H3O) ; Lupanes |
Language | English |
Publishing date | 2023-06-22 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 49157-3 |
ISSN | 1538-0254 ; 0739-1102 |
ISSN (online) | 1538-0254 |
ISSN | 0739-1102 |
DOI | 10.1080/07391102.2023.2220040 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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