PEPOP: Computational design of immunogenic peptides

Background: Most methods available to predict protein epitopes are sequence based. There is a need for methods using 3D information for prediction of discontinuous epitopes and derived immunogenic peptides. Results: PEPOP uses the 3D coordinates of a protein both to predict clusters of surface accessible segments that might correspond to epitopes and to design peptides to be used to raise antibodies that target the cognate antigen at specific sites. To verify the ability of PEPOP to identify epitopes, 13 crystallographically defined epitopes were compared with PEPOP clusters: specificity ranged

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Violaine Moreau, Cécile Fleury, Dominique Piquer, Christophe Nguyen, Nicolas Novali, Sylvie Villard, Daniel Laune, Claude Granier, Franck Molina
• Keywords: BMCBI 2008, Discontinuous Epitopes, Epitopes, Protein Epitopes