Pepitope: Epitope mapping from affinity-selected peptides

Itay Mayrose, Osnat Penn, Elana Erez, Nimrod D. Rubinstein, Tomer Shlomi, Natalia Tarnovitski Freund, Erez M. Bublil, Eytan Ruppin, Roded Sharan, Jonathan M. Gershoni, Eric Martz, Tal Pupko

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)3244-3246
Number of pages3
JournalBioinformatics
Volume23
Issue number23
DOIs
StatePublished - Dec 2007

Fingerprint

Dive into the research topics of 'Pepitope: Epitope mapping from affinity-selected peptides'. Together they form a unique fingerprint.

Cite this