Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPE. Export

@article{citeulike:3451078, abstract = {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.}, author = {Bian, H. and Hammer, J.}, citeulike-article-id = {3451078}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.ymeth.2004.06.002}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/15542373}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=15542373}, doi = {10.1016/j.ymeth.2004.06.002}, issn = {1046-2023}, journal = {Methods (San Diego, Calif.)}, month = {December}, number = {4}, pages = {468--475}, posted-at = {2008-10-26 04:26:51}, priority = {2}, title = {Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPE.}, url = {http://dx.doi.org/10.1016/j.ymeth.2004.06.002}, volume = {34}, year = {2004} }

TY - JOUR ID - citeulike:3451078 L3 - citeulike-article-id:3451078 N2 - 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. IS - 4 JF - Methods (San Diego, Calif.) SN - 1046-2023 EP - 475 TI - Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPE. VL - 34 SP - 468 AU - Bian, H AU - Hammer, J PY - 2004/12// UR - http://dx.doi.org/10.1016/j.ymeth.2004.06.002 ER -