Evidence map›Paper›PMID 36320317›Full record

ArticleStructural chemistry2022

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

Joseph George Samuel, Beutline Malgija, Cheriyan Ebenezer, Rajadurai Vijay Solomon

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Article in Structural chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Joseph George SamuelDepartment of Chemistry, Madras Christian College (Autonomous), University of Madras), Chennai, 600 059 India.
Beutline MalgijaMCC-MRF Innovation Park, Madras Christian College, Chennai, 600 059 India.
Cheriyan EbenezerDepartment of Chemistry, Madras Christian College (Autonomous), University of Madras), Chennai, 600 059 India.
Rajadurai Vijay SolomonDepartment of Chemistry, Madras Christian College (Autonomous), University of Madras), Chennai, 600 059 India.ORCID 0000-0001-8556-462X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

2-pyridoneCovalent dockingCOVID-19 drug discoveryCOVID-19 main proteaseMolecular dynamics simulationSARS-CoV-2 inhibitor

Identifiers

PMID36320317
PMCPMC9607770

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