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Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study. | LitMetric

Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study.

Struct Chem

Department of Chemistry, Madras Christian College (Autonomous), University of Madras), Chennai, 600 059 India.

Published: October 2022

AI Article Synopsis

Article Abstract

Presently, the prime global focus is on SARS-CoV-2, as no fully established, licensed medicine has been found thus far, in spite of the existence of various reports and administration of partially proven certain class of natural products. However, in case of natural products, the extraction and purification limit their application. This situation drives researchers to explore synthetically viable drugs. In the present investigation, twenty-three 2-pyridone synthetic derivatives (P1-P23) have been theoretically tested for their suitability as potential inhibitors for COVID-19 main protease through DFT, molecular docking, and molecular dynamics simulations. DFT calculations offer insights into structure-property relationships, while ADMET studies indicate the pharmacological characteristics of these molecules. Molecular docking studies ascertain the nature and mode of interactions of these entities with COVID-19 main protease. Furthermore, covalent docking has been carried out to verify the feasibility of the formation of a covalent bond with the active site. The top protein-inhibitor complexes, such as P18, P11, and P12, were identified based on their glide score. These molecules, along with the covalent docked complexes, namely P18 and P16, were selected and subjected to molecular dynamics simulations. The 100 ns simulation process exhibited that the covalent docked ones, due to their stable form could serve as lead compounds against SARS-CoV-2. Hence, this study affirms the potential candidature of 2-pyridone-based inhibitors.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607770PMC
http://dx.doi.org/10.1007/s11224-022-02076-xDOI Listing

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