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Identification of compounds from natural Peruvian sources as potential inhibitors of SARS-CoV-2 Mpro mutations by virtual screening and computational simulations [version 2; peer review: 2 approved with reservations]

Authors :
Haruna Luz Barazorda-Ccahuana
Eymi Gladys Cárcamo Rodriguez
Angela Emperatriz Centeno-Lopez
Margot Paco-Chipana
Luis Daniel Goyzueta-Mamani
Miguel Angel Chavez-Fumagalli
Author Affiliations :
<relatesTo>1</relatesTo>Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Catolica de Santa Maria de Arequipa, Pedro Vilcapaza, Arequipa, 04000, Peru<br /><relatesTo>2</relatesTo>Facultad de Ciencias Farmaceuticas, Bioquímicas y Biotecnológicas, Universidad Catolica de Santa Maria de Arequipa, Pedro Vilcapaza, Arequipa, 04000, Peru<br /><relatesTo>3</relatesTo>Sustainable Innovative Biomaterials, Le Qara Research Center, Arequipa, Peru
Source :
F1000Research. 13:246
Publication Year :
2024
Publisher :
London, UK: F1000 Research Limited, 2024.

Abstract

Background Although the COVID-19 pandemic has diminished in intensity, the virus continues to circulate globally. The SARS-CoV-2 main protease (Mpro) is a key enzyme in the life cycle of the virus, making it important for the development of treatments against future variants of the virus. In this work, Peruvian natural compounds were evaluated against different mutations of the SARS-CoV-2 Mpro. Methods In silico techniques such as virtual screening, all-atom molecular dynamics simulations, and energy estimation analysis were applied. Results Of the tested compounds by virtual screening, rutin was identified as the best binding agent against the different proposed Mpro mutations. In addition, computational simulations and energy estimation analysis demonstrated the high structural and energetic stability between the Mpro-rutin systems. Conclusions Overall, our study identified rutin as the most promising compound with a strong affinity for various Mpro mutations, potentially playing a key role in the development of new treatments for emerging viral variants.

Details

ISSN :
20461402
Volume :
13
Database :
F1000Research
Journal :
F1000Research
Notes :
Revised Amendments from Version 1 The reviewers' suggestions were accepted and added to the current version of the manuscript. New results, such as the summary of diseased SNPs predicted from Meta-SNP in SARS-CoV-2 mutations, Lipinski’s rule of five, and the ADMET profile of the compounds analyzed in the current study, were included. The inclusion of this new analysis drove changes mainly in the results and discussion section of the manuscript. Also, new supplementary data is shared with the readers. In the discussion section, new insights into the literature and previous results from our research groups allowed us to highlight the novelty and importance of our results., , [version 2; peer review: 2 approved with reservations]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.143633.2
Document Type :
research-article
Full Text :
https://doi.org/10.12688/f1000research.143633.2