Predicting Epitope Candidates for SARS-CoV-2.
SARS-CoV-2
computational biology
epitope
immunology
mutational analysis
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
21 08 2022
21 08 2022
Historique:
received:
14
04
2022
revised:
28
07
2022
accepted:
29
07
2022
entrez:
26
8
2022
pubmed:
27
8
2022
medline:
30
8
2022
Statut:
epublish
Résumé
Epitopes are short amino acid sequences that define the antigen signature to which an antibody or T cell receptor binds. In light of the current pandemic, epitope analysis and prediction are paramount to improving serological testing and developing vaccines. In this paper, known epitope sequences from SARS-CoV, SARS-CoV-2, and other Coronaviridae were leveraged to identify additional antigen regions in 62K SARS-CoV-2 genomes. Additionally, we present epitope distribution across SARS-CoV-2 genomes, locate the most commonly found epitopes, and discuss where epitopes are located on proteins and how epitopes can be grouped into classes. The mutation density of different protein regions is presented using a big data approach. It was observed that there are 112 B cell and 279 T cell conserved epitopes between SARS-CoV-2 and SARS-CoV, with more diverse sequences found in Nucleoprotein and Spike glycoprotein.
Identifiants
pubmed: 36016459
pii: v14081837
doi: 10.3390/v14081837
pmc: PMC9416013
pii:
doi:
Substances chimiques
COVID-19 Vaccines
0
Epitopes, B-Lymphocyte
0
Epitopes, T-Lymphocyte
0
Spike Glycoprotein, Coronavirus
0
Viral Vaccines
0
spike protein, SARS-CoV-2
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
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