Computational Screening of Natural Compounds as Antiviral Candidates Targeting the SARS-CoV-2 Main Protease
The onset of the global pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Wuhan in December 2019 has led to an urgent need for effective preventive and therapeutic solutions. Among the various approaches explored, natural products have shown potential in the fight ag...
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Veröffentlicht in: | Journal of integrated OMICS 2024-10, Vol.14 (3), p.1-12 |
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Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | The onset of the global pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Wuhan in December 2019 has led to an urgent need for effective preventive and therapeutic solutions. Among the various approaches explored, natural products have shown potential in the fight against COVID-19. This study employed computational techniques to screen and evaluate six natural antiviral compounds for their effectiveness against the SARS-CoV-2 Main Protease (Mpro). By using molecular docking simulations, the interactions between these natural compounds and the target proteins were predicted and analyzed, focusing on factors such as binding affinity, interaction patterns, and structural compatibility within the active sites. The analysis indicated that Cladosin C and Rhodatin formed the most stable interactions with Mpro, engaging with several critical residues. Cannabidiol, Capsaicin, and Kappa-Carrageenan also demonstrated promising interactions, though with some variability. On the other hand, Astaxanthin exhibited the least stable binding, suggesting limited antiviral potential. This research provides insights into the possible roles of these natural compounds as antagonists of the SARS-CoV-2 Mpro enzyme. Further in vitro and in vivo studies are necessary to confirm the antiviral properties of these compounds, and future research should investigate their broader antiviral applications. |
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ISSN: | 2182-0287 2182-0287 |
DOI: | 10.5584/jiomics.v14i3.234 |