EpIC: a rational pipeline for epitope immunogenicity characterization

Bioinformatics. 2015 Jul 15;31(14):2388-90. doi: 10.1093/bioinformatics/btv136. Epub 2015 Mar 6.

Abstract

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.

Availability and implementation: EpIC is available as a web server at http://saphire.usask.ca/saphire/epic.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Epitopes, B-Lymphocyte / chemistry
  • Epitopes, B-Lymphocyte / immunology*
  • Peptides / chemistry
  • Peptides / immunology
  • Sequence Analysis, Protein
  • Software*
  • Vaccines, Subunit / immunology

Substances

  • Epitopes, B-Lymphocyte
  • Peptides
  • Vaccines, Subunit