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Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening
Background: Conserved domains within SARS coronavirus 2 nonstructural proteins represent key targets for the design of novel inhibitors. Methods: The authors aimed to identify potential SARS coronavirus 2 NSP5 inhibitors using the ZINC database along with structure-based virtual screening and molecu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Newlands Press Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612299/ https://www.ncbi.nlm.nih.gov/pubmed/34814706 http://dx.doi.org/10.4155/fmc-2020-0380 |
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author | Hakami, Abdulrahim R Bakheit, Ahmed H Almehizia, Abdulrahman A Ghazwani, Mohammed Y |
author_facet | Hakami, Abdulrahim R Bakheit, Ahmed H Almehizia, Abdulrahman A Ghazwani, Mohammed Y |
author_sort | Hakami, Abdulrahim R |
collection | PubMed |
description | Background: Conserved domains within SARS coronavirus 2 nonstructural proteins represent key targets for the design of novel inhibitors. Methods: The authors aimed to identify potential SARS coronavirus 2 NSP5 inhibitors using the ZINC database along with structure-based virtual screening and molecular dynamics simulation. Results: Of 13,840 compounds, 353 with robust docking scores were initially chosen, of which ten hit compounds were selected as candidates for detailed analyses. Three compounds were selected as coronavirus NSP5 inhibitors after passing absorption, distribution, metabolism, excretion and toxicity study; root and mean square deviation; and radius of gyration calculations. Conclusion: ZINC000049899562, ZINC000169336666 and ZINC000095542577 are potential NSP5 protease inhibitors that warrant further experimental studies. |
format | Online Article Text |
id | pubmed-8612299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Newlands Press Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-86122992021-11-26 Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening Hakami, Abdulrahim R Bakheit, Ahmed H Almehizia, Abdulrahman A Ghazwani, Mohammed Y Future Med Chem Research Article Background: Conserved domains within SARS coronavirus 2 nonstructural proteins represent key targets for the design of novel inhibitors. Methods: The authors aimed to identify potential SARS coronavirus 2 NSP5 inhibitors using the ZINC database along with structure-based virtual screening and molecular dynamics simulation. Results: Of 13,840 compounds, 353 with robust docking scores were initially chosen, of which ten hit compounds were selected as candidates for detailed analyses. Three compounds were selected as coronavirus NSP5 inhibitors after passing absorption, distribution, metabolism, excretion and toxicity study; root and mean square deviation; and radius of gyration calculations. Conclusion: ZINC000049899562, ZINC000169336666 and ZINC000095542577 are potential NSP5 protease inhibitors that warrant further experimental studies. Newlands Press Ltd 2021-11-24 2021-10 /pmc/articles/PMC8612299/ /pubmed/34814706 http://dx.doi.org/10.4155/fmc-2020-0380 Text en © 2021 Newlands Press https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Research Article Hakami, Abdulrahim R Bakheit, Ahmed H Almehizia, Abdulrahman A Ghazwani, Mohammed Y Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening |
title | Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening |
title_full | Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening |
title_fullStr | Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening |
title_full_unstemmed | Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening |
title_short | Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening |
title_sort | selection of sars-cov-2 main protease inhibitor using structure-based virtual screening |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612299/ https://www.ncbi.nlm.nih.gov/pubmed/34814706 http://dx.doi.org/10.4155/fmc-2020-0380 |
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