In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 11 ( 2021-11-15), p. e0258645-
Abstract:
All approved coronavirus disease 2019 (COVID-19) vaccines in current use are safe, effective, and reduce the risk of severe illness. Although data on the immunological presentation of patients with COVID-19 is limited, increasing experimental evidence supports the significant contribution of B and T cells towards the resolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Despite the availability of several COVID-19 vaccines with high efficacy, more effective vaccines are still needed to protect against the new variants of SARS-CoV-2. Employing a comprehensive immunoinformatic prediction algorithm and leveraging the genetic closeness with SARS-CoV, we have predicted potential immune epitopes in the structural proteins of SARS-CoV-2. The S and N proteins of SARS-CoV-2 and SARS-CoVs are main targets of antibody detection and have motivated us to design four multi-epitope vaccines which were based on our predicted B- and T-cell epitopes of SARS-CoV-2 structural proteins. The cardinal epitopes selected for the vaccine constructs are predicted to possess antigenic, non-allergenic, and cytokine-inducing properties. Additionally, some of the predicted epitopes have been experimentally validated in published papers. Furthermore, we used the C-ImmSim server to predict effective immune responses induced by the epitope-based vaccines. Taken together, the immune epitopes predicted in this study provide a platform for future experimental validations which may facilitate the development of effective vaccine candidates and epitope-based serological diagnostic assays.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0258645
DOI:
10.1371/journal.pone.0258645.g001
DOI:
10.1371/journal.pone.0258645.g002
DOI:
10.1371/journal.pone.0258645.g003
DOI:
10.1371/journal.pone.0258645.g004
DOI:
10.1371/journal.pone.0258645.g005
DOI:
10.1371/journal.pone.0258645.g006
DOI:
10.1371/journal.pone.0258645.g007
DOI:
10.1371/journal.pone.0258645.t001
DOI:
10.1371/journal.pone.0258645.t002
DOI:
10.1371/journal.pone.0258645.t003
DOI:
10.1371/journal.pone.0258645.t004
DOI:
10.1371/journal.pone.0258645.t005
DOI:
10.1371/journal.pone.0258645.t006
DOI:
10.1371/journal.pone.0258645.t007
DOI:
10.1371/journal.pone.0258645.t008
DOI:
10.1371/journal.pone.0258645.t009
DOI:
10.1371/journal.pone.0258645.t010
DOI:
10.1371/journal.pone.0258645.t011
DOI:
10.1371/journal.pone.0258645.s001
DOI:
10.1371/journal.pone.0258645.s002
DOI:
10.1371/journal.pone.0258645.s003
DOI:
10.1371/journal.pone.0258645.s004
DOI:
10.1371/journal.pone.0258645.r001
DOI:
10.1371/journal.pone.0258645.r002
DOI:
10.1371/journal.pone.0258645.r003
DOI:
10.1371/journal.pone.0258645.r004
DOI:
10.1371/journal.pone.0258645.r005
DOI:
10.1371/journal.pone.0258645.r006
DOI:
10.1371/journal.pone.0258645.r007
DOI:
10.1371/journal.pone.0258645.r008
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
Bookmarklink