Title | Pepitope: epitope mapping from affinity-selected peptides. |
Publication Type | Journal Article |
Year of Publication | 2007 |
Authors | Mayrose I, Penn O, Erez E, Rubinstein ND, Shlomi T, Freund N T, Bublil EM, Ruppin E, Sharan R, Gershoni JM, Martz E, Pupko T |
Journal | Bioinformatics |
Volume | 23 |
Issue | 23 |
Pagination | 3244-6 |
Date Published | 2007 Dec 1 |
ISSN | 1367-4811 |
Keywords | Algorithms, Amino Acid Sequence, Binding Sites, Epitope Mapping, Molecular Sequence Data, Peptides, Protein Binding, Sequence Alignment, Sequence Analysis, Protein, Software |
Abstract | Identifying the epitope to which an antibody binds is central for many immunological applications such as drug design and vaccine development. The Pepitope server is a web-based tool that aims at predicting discontinuous epitopes based on a set of peptides that were affinity-selected against a monoclonal antibody of interest. The server implements three different algorithms for epitope mapping: PepSurf, Mapitope, and a combination of the two. The rationale behind these algorithms is that the set of peptides mimics the genuine epitope in terms of physicochemical properties and spatial organization. When the three-dimensional (3D) structure of the antigen is known, the information in these peptides can be used to computationally infer the corresponding epitope. A user-friendly web interface and a graphical tool that allows viewing the predicted epitopes were developed. Pepitope can also be applied for inferring other types of protein-protein interactions beyond the immunological context, and as a general tool for aligning linear sequences to a 3D structure. AVAILABILITY: http://pepitope.tau.ac.il/ |
DOI | 10.1093/bioinformatics/btm493 |
Alternate Journal | Bioinformatics |
PubMed ID | 17977889 |
Department of Microbiology