Cargando…
Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study
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 puri...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607770/ https://www.ncbi.nlm.nih.gov/pubmed/36320317 http://dx.doi.org/10.1007/s11224-022-02076-x |
_version_ | 1784818626594865152 |
---|---|
author | Samuel, Joseph George Malgija, Beutline Ebenezer, Cheriyan Solomon, Rajadurai Vijay |
author_facet | Samuel, Joseph George Malgija, Beutline Ebenezer, Cheriyan Solomon, Rajadurai Vijay |
author_sort | Samuel, Joseph George |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9607770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96077702022-10-28 Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study Samuel, Joseph George Malgija, Beutline Ebenezer, Cheriyan Solomon, Rajadurai Vijay Struct Chem Original Research 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. Springer US 2022-10-26 /pmc/articles/PMC9607770/ /pubmed/36320317 http://dx.doi.org/10.1007/s11224-022-02076-x Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Samuel, Joseph George Malgija, Beutline Ebenezer, Cheriyan Solomon, Rajadurai Vijay Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study |
title | Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study |
title_full | Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study |
title_fullStr | Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study |
title_full_unstemmed | Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study |
title_short | Insight into designing of 2-pyridone derivatives for COVID-19 drug discovery - A computational study |
title_sort | insight into designing of 2-pyridone derivatives for covid-19 drug discovery - a computational study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607770/ https://www.ncbi.nlm.nih.gov/pubmed/36320317 http://dx.doi.org/10.1007/s11224-022-02076-x |
work_keys_str_mv | AT samueljosephgeorge insightintodesigningof2pyridonederivativesforcovid19drugdiscoveryacomputationalstudy AT malgijabeutline insightintodesigningof2pyridonederivativesforcovid19drugdiscoveryacomputationalstudy AT ebenezercheriyan insightintodesigningof2pyridonederivativesforcovid19drugdiscoveryacomputationalstudy AT solomonrajaduraivijay insightintodesigningof2pyridonederivativesforcovid19drugdiscoveryacomputationalstudy |