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An immunoinformatics study on the spike protein of SARS-CoV-2 revealing potential epitopes as vaccine candidates
BACKGROUND: The pandemic situation of SARS-CoV-2 infection has sparked global concern due to the disease COVID-19 caused by it. Since the first cluster of confirmed cases in China in December 2019, the infection has been reported across the continents and inflicted upon a substantial number of popul...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472982/ https://www.ncbi.nlm.nih.gov/pubmed/32923731 http://dx.doi.org/10.1016/j.heliyon.2020.e04865 |
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author | Ashik, Arafat Islam Hasan, Mahedi Tasnim, Atiya Tahira Chowdhury, Md. Belal Hossain, Tanvir Ahmed, Shamim |
author_facet | Ashik, Arafat Islam Hasan, Mahedi Tasnim, Atiya Tahira Chowdhury, Md. Belal Hossain, Tanvir Ahmed, Shamim |
author_sort | Ashik, Arafat Islam |
collection | PubMed |
description | BACKGROUND: The pandemic situation of SARS-CoV-2 infection has sparked global concern due to the disease COVID-19 caused by it. Since the first cluster of confirmed cases in China in December 2019, the infection has been reported across the continents and inflicted upon a substantial number of populations. METHOD: This study is focused on immunoinformatics analyses of the SARS-CoV-2 spike glycoprotein (S protein) which is key for the viral attachment to human host cells. Computational analyses were carried out for the prediction of B-cell and T-cell (MHC class I and II) epitopes of S protein and the analyses were extended further for the prediction of their immunogenic properties. The interaction and binding affinity of T-cell epitopes with HLA-B7 were also investigated by molecular docking. RESULT: Three distinct epitopes for vaccine design were predicted from the sequence of S protein. The potential B-cell epitope was KNHTSPDVDLG possessing the highest antigenicity score of 1.4039 among other B-cell epitopes. T-cell epitope for human MHC class I was VVVLSFELL with an antigenicity score of 1.0909 and binding ability to 29 MHC-I alleles. The predicted T-cell epitope for human MHC class II molecule was VVIGIVNNT with a corresponding 1.3063 antigenicity score, less digesting enzymes, and 7 MHC-II alleles binding ability. All these three peptides were predicted to be highly antigenic, non-allergenic, and non-toxic. Analyses of the physiochemical properties of these predicted epitopes indicate their stable nature for plausible vaccine design. Furthermore, molecular docking investigation between the MHC class-I epitopes and human HLA-B7 reflects the stable interaction with high affinity among them. CONCLUSION: The present study posits three potential epitopes of S protein of SARS-CoV-2 predicted by immunoinformatic methods based on their immunogenic properties and interactions with the host counterpart that can facilitate the development of vaccine against SARS-CoV-2. This study can act as the springboard for the future development of the COVID-19 vaccine. |
format | Online Article Text |
id | pubmed-7472982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74729822020-09-08 An immunoinformatics study on the spike protein of SARS-CoV-2 revealing potential epitopes as vaccine candidates Ashik, Arafat Islam Hasan, Mahedi Tasnim, Atiya Tahira Chowdhury, Md. Belal Hossain, Tanvir Ahmed, Shamim Heliyon Research Article BACKGROUND: The pandemic situation of SARS-CoV-2 infection has sparked global concern due to the disease COVID-19 caused by it. Since the first cluster of confirmed cases in China in December 2019, the infection has been reported across the continents and inflicted upon a substantial number of populations. METHOD: This study is focused on immunoinformatics analyses of the SARS-CoV-2 spike glycoprotein (S protein) which is key for the viral attachment to human host cells. Computational analyses were carried out for the prediction of B-cell and T-cell (MHC class I and II) epitopes of S protein and the analyses were extended further for the prediction of their immunogenic properties. The interaction and binding affinity of T-cell epitopes with HLA-B7 were also investigated by molecular docking. RESULT: Three distinct epitopes for vaccine design were predicted from the sequence of S protein. The potential B-cell epitope was KNHTSPDVDLG possessing the highest antigenicity score of 1.4039 among other B-cell epitopes. T-cell epitope for human MHC class I was VVVLSFELL with an antigenicity score of 1.0909 and binding ability to 29 MHC-I alleles. The predicted T-cell epitope for human MHC class II molecule was VVIGIVNNT with a corresponding 1.3063 antigenicity score, less digesting enzymes, and 7 MHC-II alleles binding ability. All these three peptides were predicted to be highly antigenic, non-allergenic, and non-toxic. Analyses of the physiochemical properties of these predicted epitopes indicate their stable nature for plausible vaccine design. Furthermore, molecular docking investigation between the MHC class-I epitopes and human HLA-B7 reflects the stable interaction with high affinity among them. CONCLUSION: The present study posits three potential epitopes of S protein of SARS-CoV-2 predicted by immunoinformatic methods based on their immunogenic properties and interactions with the host counterpart that can facilitate the development of vaccine against SARS-CoV-2. This study can act as the springboard for the future development of the COVID-19 vaccine. Elsevier 2020-09-04 /pmc/articles/PMC7472982/ /pubmed/32923731 http://dx.doi.org/10.1016/j.heliyon.2020.e04865 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Ashik, Arafat Islam Hasan, Mahedi Tasnim, Atiya Tahira Chowdhury, Md. Belal Hossain, Tanvir Ahmed, Shamim An immunoinformatics study on the spike protein of SARS-CoV-2 revealing potential epitopes as vaccine candidates |
title | An immunoinformatics study on the spike protein of SARS-CoV-2 revealing potential epitopes as vaccine candidates |
title_full | An immunoinformatics study on the spike protein of SARS-CoV-2 revealing potential epitopes as vaccine candidates |
title_fullStr | An immunoinformatics study on the spike protein of SARS-CoV-2 revealing potential epitopes as vaccine candidates |
title_full_unstemmed | An immunoinformatics study on the spike protein of SARS-CoV-2 revealing potential epitopes as vaccine candidates |
title_short | An immunoinformatics study on the spike protein of SARS-CoV-2 revealing potential epitopes as vaccine candidates |
title_sort | immunoinformatics study on the spike protein of sars-cov-2 revealing potential epitopes as vaccine candidates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472982/ https://www.ncbi.nlm.nih.gov/pubmed/32923731 http://dx.doi.org/10.1016/j.heliyon.2020.e04865 |
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