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A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum
The nucleocapsid (N) protein of SARS-COV-2, a virus responsible for the current COVID-19 pandemic, is considered a potential candidate for the design of new drugs and vaccines. The protein is central to several critical events in virus production, with its highly druggable nature and rich antigenic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654302/ https://www.ncbi.nlm.nih.gov/pubmed/33199930 http://dx.doi.org/10.1016/j.molliq.2020.114734 |
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author | Ahmad, Sajjad Waheed, Yasir Ismail, Saba Abbasi, Sumra Wajid Najmi, Muzammil Hasan |
author_facet | Ahmad, Sajjad Waheed, Yasir Ismail, Saba Abbasi, Sumra Wajid Najmi, Muzammil Hasan |
author_sort | Ahmad, Sajjad |
collection | PubMed |
description | The nucleocapsid (N) protein of SARS-COV-2, a virus responsible for the current COVID-19 pandemic, is considered a potential candidate for the design of new drugs and vaccines. The protein is central to several critical events in virus production, with its highly druggable nature and rich antigenic determinants making it an excellent anti-viral biomolecule. Docking-based virtual screening using the Asinex anti-viral library identified binding of drug molecules at three specific positions: loop 1 region, loop 2 region and β-sheet core pockets, the loop 2 region being the most common binding and stable site for the bulk of the molecules. In parallel, the protein was characterized by vaccine design perspective and harboured three potential B cell-derived T cell epitopes: PINTNSSPD, GVPINTNSS, and DHIGTRNPA. The epitopes are highly antigenic, virulent, non-allergic, non-toxic, bind with good affinity to the highly prevalent DRB*0101 allele and show an average population coverage of 95.04%. A multi-epitope vaccine ensemble which was 83 amino acids long was created. This was highly immunogenic, robust in generating both humoral and cellular immune responses, thermally stable, and had good physicochemical properties that could be easily analyzed in in vivo and in vitro studies. Conformational dynamics of both drug and vaccine ensemble with respect to the receptors are energetically stable, shedding light on favourable conformation and chemical interactions. These facts were validated by subjecting the complexes to relative and absolute binding free energy methods of MMGB/PBSA and WaterSwap. A strong agreement on the system stability was disclosed that supported ligand high affinity potential for the receptors. Collectively, this work sought to provide preliminary experimental data of existing anti-viral drugs as a possible therapy for COVID-19 infections and a new peptide-based vaccine for protection against this pandemic virus. |
format | Online Article Text |
id | pubmed-7654302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76543022020-11-12 A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum Ahmad, Sajjad Waheed, Yasir Ismail, Saba Abbasi, Sumra Wajid Najmi, Muzammil Hasan J Mol Liq Article The nucleocapsid (N) protein of SARS-COV-2, a virus responsible for the current COVID-19 pandemic, is considered a potential candidate for the design of new drugs and vaccines. The protein is central to several critical events in virus production, with its highly druggable nature and rich antigenic determinants making it an excellent anti-viral biomolecule. Docking-based virtual screening using the Asinex anti-viral library identified binding of drug molecules at three specific positions: loop 1 region, loop 2 region and β-sheet core pockets, the loop 2 region being the most common binding and stable site for the bulk of the molecules. In parallel, the protein was characterized by vaccine design perspective and harboured three potential B cell-derived T cell epitopes: PINTNSSPD, GVPINTNSS, and DHIGTRNPA. The epitopes are highly antigenic, virulent, non-allergic, non-toxic, bind with good affinity to the highly prevalent DRB*0101 allele and show an average population coverage of 95.04%. A multi-epitope vaccine ensemble which was 83 amino acids long was created. This was highly immunogenic, robust in generating both humoral and cellular immune responses, thermally stable, and had good physicochemical properties that could be easily analyzed in in vivo and in vitro studies. Conformational dynamics of both drug and vaccine ensemble with respect to the receptors are energetically stable, shedding light on favourable conformation and chemical interactions. These facts were validated by subjecting the complexes to relative and absolute binding free energy methods of MMGB/PBSA and WaterSwap. A strong agreement on the system stability was disclosed that supported ligand high affinity potential for the receptors. Collectively, this work sought to provide preliminary experimental data of existing anti-viral drugs as a possible therapy for COVID-19 infections and a new peptide-based vaccine for protection against this pandemic virus. Elsevier B.V. 2021-02-15 2020-11-10 /pmc/articles/PMC7654302/ /pubmed/33199930 http://dx.doi.org/10.1016/j.molliq.2020.114734 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ahmad, Sajjad Waheed, Yasir Ismail, Saba Abbasi, Sumra Wajid Najmi, Muzammil Hasan A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum |
title | A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum |
title_full | A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum |
title_fullStr | A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum |
title_full_unstemmed | A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum |
title_short | A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum |
title_sort | computational study to disclose potential drugs and vaccine ensemble for covid-19 conundrum |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654302/ https://www.ncbi.nlm.nih.gov/pubmed/33199930 http://dx.doi.org/10.1016/j.molliq.2020.114734 |
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