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Identification of terpenoids as potential inhibitors of SARS-CoV-2 (main protease) and spike (RBD) via computer-aided drug design.

Authors :
Hadni H
Fitri A
Touimi Benjelloun A
Benzakour M
Mcharfi M
Benbrahim M
Source :
Journal of biomolecular structure & dynamics [J Biomol Struct Dyn] 2024 Sep; Vol. 42 (15), pp. 8145-8158. Date of Electronic Publication: 2023 Aug 07.
Publication Year :
2024

Abstract

The scientific community has been faced with a major challenge in the fight against the SARS-CoV-2 virus responsible for the COVID-19 pandemic, due to the lack of targeted antiviral drugs. To address this issue, we used an in silico approach to screen 23 natural compounds from the terpenoid class for their ability to target key SARS-CoV-2 therapeutic proteins. The results revealed that several compounds showed promising interactions with SARS-CoV-2 proteins, specifically the main protease and the spike receptor binding domain. The molecular docking analysis revealed the importance of certain residues, such as GLY143, SER144, CYS145 and GLU166, in the main protease of the SARS-CoV-2 protein, which play a crucial role in interactions with the ligand. In addition, our study highlighted the importance of interactions with residues GLY496, ARG403, SER494 and ARG393 of the spike receptor-binding domain within the SARS-CoV-2 protein. ADMET and drug similarity analyses were also performed, followed by molecular dynamics and MM-GBSA calculations, to identify potential drugs could be repurposed to combat COVID-19. Indeed, the results suggest that certain terpenoid compounds of plant origin have promising potential as therapeutic targets for SARS-CoV-2. However, additional experimental studies are required to confirm their efficacy as drugs against COVID-19.Communicated by Ramaswamy H. Sarma.

Details

Language :
English
ISSN :
1538-0254
Volume :
42
Issue :
15
Database :
MEDLINE
Journal :
Journal of biomolecular structure & dynamics
Publication Type :
Academic Journal
Accession number :
37548619
Full Text :
https://doi.org/10.1080/07391102.2023.2245051