Open AccessTepiTool: A Pipeline for Computational Prediction of T Cell Epitope Candidates
Author(s) -
Paul Sinu,
Sidney John,
Sette Alessandro,
Peters Bjoern
Publication year - 2016
Publication title -
current protocols in immunology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.618
H-Index - 43
eISSN - 1934-368X
pISSN - 1934-3671
DOI - 10.1002/cpim.12
Subject(s) - epitope , pipeline (software) , major histocompatibility complex , computer science , computational biology , t cell , immune system , bioinformatics , biology , antigen , genetics , programming language
Computational prediction of T cell epitope candidates is currently being used in several applications including vaccine discovery studies, development of diagnostics, and removal of unwanted immune responses against protein therapeutics. There have been continuous improvements in the performance of MHC binding prediction tools, but their general adoption by immunologists has been slow due to the lack of user-friendly interfaces and guidelines. Current tools only provide minimal advice on what alleles to include, what lengths to consider, how to deal with homologous peptides, and what cutoffs should be considered relevant. This protocol provides step-by-step instructions with necessary recommendations for prediction of the best T cell epitope candidates with the newly developed online tool called TepiTool. TepiTool, which is part of the Immune Epitope Database (IEDB), provides some of the top MHC binding prediction algorithms for number of species including humans, chimpanzees, bovines, gorillas, macaques, mice, and pigs. The TepiTool is freely accessible at http://tools.iedb.org/tepitool/. © 2016 by John Wiley & Sons, Inc.