Not all T cell epitopes are equally desired: a review of in silico tools for the prediction of cytokine-inducing potential of T-cell epitopes.
T cell epitopes
bioinformatics tools
cytokine induction
desired immunity
immunogenicity
Journal
Briefings in bioinformatics
ISSN: 1477-4054
Titre abrégé: Brief Bioinform
Pays: England
ID NLM: 100912837
Informations de publication
Date de publication:
20 09 2022
20 09 2022
Historique:
received:
07
06
2022
revised:
01
08
2022
accepted:
09
08
2022
pubmed:
8
9
2022
medline:
28
9
2022
entrez:
7
9
2022
Statut:
ppublish
Résumé
Assessment of protective or harmful T cell response induced by any antigenic epitope is important in designing any immunotherapeutic molecule. The understanding of cytokine induction potential also helps us to monitor antigen-specific cellular immune responses and rational vaccine design. The classical immunoinformatics tools served well for prediction of B cell and T cell epitopes. However, in the last decade, the prediction algorithms for T cell epitope inducing specific cytokines have also been developed and appreciated in the scientific community. This review summarizes the current status of such tools, their applications, background algorithms, their use in experimental setup and functionalities available in the tools/web servers.
Identifiants
pubmed: 36070623
pii: 6692551
doi: 10.1093/bib/bbac382
pii:
doi:
Substances chimiques
Cytokines
0
Epitopes, T-Lymphocyte
0
Vaccines
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.