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DFT, Molecular Docking, and ADME/Tox Screening Investigations of Market‑Available Drugs against SARS‑CoV‑2

Authors :
Ionara Nayana Gomes Passos
Alice de Oliveira Sousa
Gardênia Taveira Santos
Joabe Lima Araújo
L. A. de Sousa
M. R. Lage
Ruan Sousa Bastos
S. R. Stoyanov
Jefferson Almeida Rocha
R. B. de Azevedo
Source :
Repositório Institucional da UnB, Universidade de Brasília (UnB), instacron:UNB
Publication Year :
2021
Publisher :
Sociedade Brasileira de Quimica (SBQ), 2021.

Abstract

A series of drugs was investigated to determine structural, electronic and pharmacological properties, as well as the molecular affinity for the main protease of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The drugs were submitted to density functional theory calculations to optimize structures and predict binding preferences. The optimized geometries were used in molecular docking simulations. In the docking study, the receiver was considered rigid and the drugs flexible. The Lamarckian genetic algorithm with global search and Pseudo-Solis and Wets with local search were adopted for docking. Absorption, distribution, metabolism, excretion and toxicological properties were obtained from the Pre-ADMET online server. In this series, the antiviral atazanavir showed the potential to inhibit the main protease of SARS-CoV-2, based on the free binding energy, inhibition constant, binding interactions and its favorable pharmacological properties. Therefore, we recommend carrying out further studies with in vitro tests and subsequent clinical tests to analyze its effectiveness in the treatment of SARS-CoV-2. © 2021 Sociedade Brasileira de Quimica.

Details

ISSN :
01035053
Database :
OpenAIRE
Journal :
Journal of the Brazilian Chemical Society
Accession number :
edsair.doi.dedup.....ed5ea017c245135172dbe49f239e38fa
Full Text :
https://doi.org/10.21577/0103-5053.20210061