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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Dongliang, Mai, Jinhui, Zhou, Wenfeng, Yu, Wanting, Zhan, Yang, Wang, Naidong, Epstein, Neal D., Yang, Yi
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