Kristen Marciniuk1, Brett Trost2, Scott Napper1. 1. Department of Biochemistry, University of Saskatchewan, Saskatoon, SK, S7N 5E5 Canada, Vaccine and Infectious Disease Organization-International Vaccine Centre, University of Saskatchewan, Saskatoon, SK, S7N 5E3 Canada and. 2. Vaccine and Infectious Disease Organization-International Vaccine Centre, University of Saskatchewan, Saskatoon, SK, S7N 5E3 Canada and Department of Computer Science, University of Saskatchewan, Saskatoon, SK, S7N 5C9 Canada.
Abstract
UNLABELLED: 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.
UNLABELLED: 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.
Authors: Kristen Marciniuk; Pekka Määttänen; Ryan Taschuk; T Dean Airey; Andrew Potter; Neil R Cashman; Philip Griebel; Scott Napper Journal: Vaccine Date: 2014-01-29 Impact factor: 3.641
Authors: Peter D Hedlin; Neil R Cashman; Li Li; Jyotsana Gupta; Lorne A Babiuk; Andrew A Potter; Philip Griebel; Scott Napper Journal: Vaccine Date: 2009-11-17 Impact factor: 3.641