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A candidate multi-epitope vaccine against SARS-CoV-2
In the past two decades, 7 coronaviruses have infected the human population, with two major outbreaks caused by SARS-CoV and MERS-CoV in the year 2002 and 2012, respectively. Currently, the entire world is facing a pandemic of another coronavirus, SARS-CoV-2, with a high fatality rate. The spike gly...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331818/ https://www.ncbi.nlm.nih.gov/pubmed/32616763 http://dx.doi.org/10.1038/s41598-020-67749-1 |
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author | Kar, Tamalika Narsaria, Utkarsh Basak, Srijita Deb, Debashrito Castiglione, Filippo Mueller, David M. Srivastava, Anurag P. |
author_facet | Kar, Tamalika Narsaria, Utkarsh Basak, Srijita Deb, Debashrito Castiglione, Filippo Mueller, David M. Srivastava, Anurag P. |
author_sort | Kar, Tamalika |
collection | PubMed |
description | In the past two decades, 7 coronaviruses have infected the human population, with two major outbreaks caused by SARS-CoV and MERS-CoV in the year 2002 and 2012, respectively. Currently, the entire world is facing a pandemic of another coronavirus, SARS-CoV-2, with a high fatality rate. The spike glycoprotein of SARS-CoV-2 mediates entry of virus into the host cell and is one of the most important antigenic determinants, making it a potential candidate for a vaccine. In this study, we have computationally designed a multi-epitope vaccine using spike glycoprotein of SARS-CoV-2. The overall quality of the candidate vaccine was validated in silico and Molecular Dynamics Simulation confirmed the stability of the designed vaccine. Docking studies revealed stable interactions of the vaccine with Toll-Like Receptors and MHC Receptors. The in silico cloning and codon optimization supported the proficient expression of the designed vaccine in E. coli expression system. The efficiency of the candidate vaccine to trigger an effective immune response was assessed by an in silico immune simulation. The computational analyses suggest that the designed multi-epitope vaccine is structurally stable which can induce specific immune responses and thus, can be a potential vaccine candidate against SARS-CoV-2. |
format | Online Article Text |
id | pubmed-7331818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73318182020-07-06 A candidate multi-epitope vaccine against SARS-CoV-2 Kar, Tamalika Narsaria, Utkarsh Basak, Srijita Deb, Debashrito Castiglione, Filippo Mueller, David M. Srivastava, Anurag P. Sci Rep Article In the past two decades, 7 coronaviruses have infected the human population, with two major outbreaks caused by SARS-CoV and MERS-CoV in the year 2002 and 2012, respectively. Currently, the entire world is facing a pandemic of another coronavirus, SARS-CoV-2, with a high fatality rate. The spike glycoprotein of SARS-CoV-2 mediates entry of virus into the host cell and is one of the most important antigenic determinants, making it a potential candidate for a vaccine. In this study, we have computationally designed a multi-epitope vaccine using spike glycoprotein of SARS-CoV-2. The overall quality of the candidate vaccine was validated in silico and Molecular Dynamics Simulation confirmed the stability of the designed vaccine. Docking studies revealed stable interactions of the vaccine with Toll-Like Receptors and MHC Receptors. The in silico cloning and codon optimization supported the proficient expression of the designed vaccine in E. coli expression system. The efficiency of the candidate vaccine to trigger an effective immune response was assessed by an in silico immune simulation. The computational analyses suggest that the designed multi-epitope vaccine is structurally stable which can induce specific immune responses and thus, can be a potential vaccine candidate against SARS-CoV-2. Nature Publishing Group UK 2020-07-02 /pmc/articles/PMC7331818/ /pubmed/32616763 http://dx.doi.org/10.1038/s41598-020-67749-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kar, Tamalika Narsaria, Utkarsh Basak, Srijita Deb, Debashrito Castiglione, Filippo Mueller, David M. Srivastava, Anurag P. A candidate multi-epitope vaccine against SARS-CoV-2 |
title | A candidate multi-epitope vaccine against SARS-CoV-2 |
title_full | A candidate multi-epitope vaccine against SARS-CoV-2 |
title_fullStr | A candidate multi-epitope vaccine against SARS-CoV-2 |
title_full_unstemmed | A candidate multi-epitope vaccine against SARS-CoV-2 |
title_short | A candidate multi-epitope vaccine against SARS-CoV-2 |
title_sort | candidate multi-epitope vaccine against sars-cov-2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331818/ https://www.ncbi.nlm.nih.gov/pubmed/32616763 http://dx.doi.org/10.1038/s41598-020-67749-1 |
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