EpIC: a rational pipeline for epitope immunogenicity characterization
Author(s) -
Kristen Marciniuk,
Brett Trost,
Scott Napper
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv136
Subject(s) - immunogenicity , epitope , computational biology , peptide vaccine , computer science , peptide , epitope mapping , pipeline (software) , biology , virology , antibody , immunology , biochemistry , programming language
Efforts to develop peptide-based vaccines, in particular those requiring site-specific targeting of self-proteins, rely on the ability to optimize the immunogenicity of the peptide epitopes. Currently, screening of candidate vaccines is typically performed through low-throughput, high-cost animal trials. To improve on this we present the program EpIC, which enables high-throughput prediction of peptide immunogenicity based on the endogenous occurrence of B-cell epitopes within native protein sequences. This information informs rational selection of immunogenicity-optimized epitopes for peptide vaccines.
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