Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPE
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 H...
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| Veröffentlicht in: | Methods (San Diego, Calif.) Calif.), 2004-12, Vol.34 (4), p.468-475 |
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| container_title | Methods (San Diego, Calif.) |
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| creator | Bian, Hongjin Hammer, Juergen |
| description | 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. |
| doi_str_mv | 10.1016/j.ymeth.2004.06.002 |
| format | Article |
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| ispartof | Methods (San Diego, Calif.), 2004-12, Vol.34 (4), p.468-475 |
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| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| subjects | Bioinformatics Computational Biology - methods Epitope Mapping - methods Epitope prediction Epitopes, T-Lymphocyte - immunology Histocompatibility Antigens Class II - immunology HLA Antigens - immunology HLA-DR Humans Peptide Fragments - genetics Peptide Fragments - immunology Predictive Value of Tests TEPITOPE Vaccine |
| title | Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPE |
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