Cargando…
Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design
Currently, there is limited knowledge about the immunological profiles of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). We used computer-based immunoinformatic analysis and the newly resolved 3-dimensional (3D) structures of the SARS-CoV-2 S trimeric protein, together with analyses o...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563688/ https://www.ncbi.nlm.nih.gov/pubmed/32635180 http://dx.doi.org/10.3390/vaccines8030355 |
_version_ | 1783595543561240576 |
---|---|
author | Wang, Dongliang Mai, Jinhui Zhou, Wenfeng Yu, Wanting Zhan, Yang Wang, Naidong Epstein, Neal D. Yang, Yi |
author_facet | Wang, Dongliang Mai, Jinhui Zhou, Wenfeng Yu, Wanting Zhan, Yang Wang, Naidong Epstein, Neal D. Yang, Yi |
author_sort | Wang, Dongliang |
collection | PubMed |
description | Currently, there is limited knowledge about the immunological profiles of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). We used computer-based immunoinformatic analysis and the newly resolved 3-dimensional (3D) structures of the SARS-CoV-2 S trimeric protein, together with analyses of the immunogenic profiles of SARS-CoV, to anticipate potential B-cell and T-cell epitopes of the SARS-CoV-2 S protein for vaccine design, particularly for peptide-driven vaccine design and serological diagnosis. Nine conserved linear B-cell epitopes and multiple discontinuous B-cell epitopes composed of 69 residues on the surface of the SARS-CoV-2 trimeric S protein were predicted to be highly antigenic. We found that the SARS-CoV-2 S protein has a different antigenic profile than that of the SARS-CoV S protein due to the variations in their primary and 3D structures. Importantly, SARS-CoV-2 may exploit an immune evasion mechanism through two point mutations in the critical and conserved linear neutralization epitope (overlap with fusion peptide) around a sparsely glycosylated area. These mutations lead to a significant decrease in the antigenicity of this epitope in the SARS-CoV-2 S protein. In addition, 62 T-cell epitopes in the SARS-CoV-2 S protein were predicted in our study. The structure-based immunoinformatic analysis for the SARS-CoV-2 S protein in this study may improve vaccine design, diagnosis, and immunotherapy against the pandemic of COVID-19. |
format | Online Article Text |
id | pubmed-7563688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75636882020-10-27 Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design Wang, Dongliang Mai, Jinhui Zhou, Wenfeng Yu, Wanting Zhan, Yang Wang, Naidong Epstein, Neal D. Yang, Yi Vaccines (Basel) Article Currently, there is limited knowledge about the immunological profiles of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). We used computer-based immunoinformatic analysis and the newly resolved 3-dimensional (3D) structures of the SARS-CoV-2 S trimeric protein, together with analyses of the immunogenic profiles of SARS-CoV, to anticipate potential B-cell and T-cell epitopes of the SARS-CoV-2 S protein for vaccine design, particularly for peptide-driven vaccine design and serological diagnosis. Nine conserved linear B-cell epitopes and multiple discontinuous B-cell epitopes composed of 69 residues on the surface of the SARS-CoV-2 trimeric S protein were predicted to be highly antigenic. We found that the SARS-CoV-2 S protein has a different antigenic profile than that of the SARS-CoV S protein due to the variations in their primary and 3D structures. Importantly, SARS-CoV-2 may exploit an immune evasion mechanism through two point mutations in the critical and conserved linear neutralization epitope (overlap with fusion peptide) around a sparsely glycosylated area. These mutations lead to a significant decrease in the antigenicity of this epitope in the SARS-CoV-2 S protein. In addition, 62 T-cell epitopes in the SARS-CoV-2 S protein were predicted in our study. The structure-based immunoinformatic analysis for the SARS-CoV-2 S protein in this study may improve vaccine design, diagnosis, and immunotherapy against the pandemic of COVID-19. MDPI 2020-07-03 /pmc/articles/PMC7563688/ /pubmed/32635180 http://dx.doi.org/10.3390/vaccines8030355 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Dongliang Mai, Jinhui Zhou, Wenfeng Yu, Wanting Zhan, Yang Wang, Naidong Epstein, Neal D. Yang, Yi Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design |
title | Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design |
title_full | Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design |
title_fullStr | Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design |
title_full_unstemmed | Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design |
title_short | Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design |
title_sort | immunoinformatic analysis of t- and b-cell epitopes for sars-cov-2 vaccine design |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563688/ https://www.ncbi.nlm.nih.gov/pubmed/32635180 http://dx.doi.org/10.3390/vaccines8030355 |
work_keys_str_mv | AT wangdongliang immunoinformaticanalysisoftandbcellepitopesforsarscov2vaccinedesign AT maijinhui immunoinformaticanalysisoftandbcellepitopesforsarscov2vaccinedesign AT zhouwenfeng immunoinformaticanalysisoftandbcellepitopesforsarscov2vaccinedesign AT yuwanting immunoinformaticanalysisoftandbcellepitopesforsarscov2vaccinedesign AT zhanyang immunoinformaticanalysisoftandbcellepitopesforsarscov2vaccinedesign AT wangnaidong immunoinformaticanalysisoftandbcellepitopesforsarscov2vaccinedesign AT epsteinneald immunoinformaticanalysisoftandbcellepitopesforsarscov2vaccinedesign AT yangyi immunoinformaticanalysisoftandbcellepitopesforsarscov2vaccinedesign |