Immune Profile of SARS-CoV-2 Variants of Concern.
MHC
SARS-CoV-2
T cells
polymorphism
virus mutation
Journal
Frontiers in digital health
ISSN: 2673-253X
Titre abrégé: Front Digit Health
Pays: Switzerland
ID NLM: 101771889
Informations de publication
Date de publication:
2021
2021
Historique:
received:
02
05
2021
accepted:
17
06
2021
entrez:
29
10
2021
pubmed:
30
10
2021
medline:
30
10
2021
Statut:
epublish
Résumé
The spread of the current Sars-Cov-2 pandemics leads to the development of mutations that are constantly monitored because they could affect the efficacy of vaccines. Three recently identified mutated strains, known as variants of concern, are rapidly spreading worldwide. Here, we study possible effects of these mutations on the immune response to Sars-Cov-2 infection using NetTepi a computational method based on artificial neural networks that considers binding and stability of peptides obtained by proteasome degradation for widely represented HLA class I alleles present in human populations as well as the T-cell propensity of viral peptides that measures their immune response. Our results show variations in the number of potential highly ranked peptides ranging between 0 and 20% depending on the specific HLA allele. The results can be useful to design more specific vaccines.
Identifiants
pubmed: 34713175
doi: 10.3389/fdgth.2021.704411
pmc: PMC8521889
doi:
Types de publication
Journal Article
Langues
eng
Pagination
704411Informations de copyright
Copyright © 2021 La Porta and Zapperi.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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