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Phenylethanoid glycosides as a possible COVID-19 protease inhibitor: a virtual screening approach.
- Source :
-
Journal of molecular modeling [J Mol Model] 2021 Nov 03; Vol. 27 (11), pp. 341. Date of Electronic Publication: 2021 Nov 03. - Publication Year :
- 2021
-
Abstract
- From the beginning of pandemic, more than 240 million people have been infected with a death rate higher than 2%. Indeed, the current exit strategy involving the spreading of vaccines must be combined with progress in effective treatment development. This scenario is sadly supported by the vaccine's immune activation time and the inequalities in the global immunization schedule. Bringing the crises under control means providing the world population with accessible and impactful new therapeutics. We screened a natural product library that contains a unique collection of 2370 natural products into the binding site of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease (M <superscript>pro</superscript> ). According to the docking score and to the interaction at the active site, three phenylethanoid glycosides (forsythiaside A, isoacteoside, and verbascoside) were selected. In order to provide better insight into the atomistic interaction and test the impact of the three selected compounds at the binding site, we resorted to a half microsecond-long molecular dynamics simulation. As a result, we are showing that forsythiaside A is the most stable molecule and it is likely to possess the highest inhibitory effect against SARS-CoV-2 M <superscript>pro</superscript> . Phenylethanoid glycosides also have been reported to have both protease and kinase activity. This kinase inhibitory activity is very beneficial in fighting viruses inside the body as kinases are required for viral entry, metabolism, and/or reproduction. The dual activity (kinase/protease) of phenylethanoid glycosides makes them very promising anit-COVID-19 agents.<br /> (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Subjects :
- Antiviral Agents chemistry
Binding Sites
Coronavirus 3C Proteases chemistry
Coronavirus 3C Proteases metabolism
Coronavirus Protease Inhibitors chemistry
Drug Evaluation, Preclinical
Glucosides chemistry
Glucosides metabolism
Glucosides pharmacology
Glycosides chemistry
Glycosides metabolism
Hydrogen Bonding
Molecular Docking Simulation
Molecular Dynamics Simulation
Phenols chemistry
Phenols metabolism
Phenols pharmacology
Antiviral Agents pharmacology
Coronavirus 3C Proteases antagonists & inhibitors
Coronavirus Protease Inhibitors pharmacology
Glycosides pharmacology
Subjects
Details
- Language :
- English
- ISSN :
- 0948-5023
- Volume :
- 27
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Journal of molecular modeling
- Publication Type :
- Academic Journal
- Accession number :
- 34731296
- Full Text :
- https://doi.org/10.1007/s00894-021-04963-2