Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPE.
Methods
; 34(4): 468-75, 2004 Dec.
Article
in En
| MEDLINE
| ID: mdl-15542373
TEPITOPE is a prediction model that has been successfully applied to the in silico identification of T cell epitopes in the context of oncology, allergy, infectious diseases, and autoimmune diseases. Like most epitope prediction models, TEPITOPE's underlying algorithm is based on the prediction of HLA-II peptide binding, which constitutes a major bottleneck in the natural selection of epitopes. An important step in the design of subunit vaccines is the identification of promiscuous HLA-II ligands in sets of disease-specific gene products. TEPITOPE's user interface enables the systematic prediction of promiscuous peptide ligands for a broad range of HLA-binding specificity. We show how to apply the TEPITOPE prediction model to identify T cell epitopes, and provide both a road map and examples of its successful application.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Histocompatibility Antigens Class II
/
Epitope Mapping
/
Epitopes, T-Lymphocyte
/
Computational Biology
/
HLA Antigens
Type of study:
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Methods
Journal subject:
BIOQUIMICA
Year:
2004
Document type:
Article
Affiliation country:
United States
Country of publication:
United States