Abstract
Summary: 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, highcost 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 immunogenicityoptimized epitopes for peptide vaccines.
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CITATION STYLE
Marciniuk, K., Trost, B., & Napper, S. (2015). EpIC: A rational pipeline for epitope immunogenicity characterization. Bioinformatics, 31(14), 2388–2390. https://doi.org/10.1093/bioinformatics/btv136
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