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Pepitope: epitope mapping from affinity-selected peptides
Author(s) -
Itay Mayrose,
Osnat Penn,
Elana Erez,
Nimrod D. Rubinstein,
Tomer Shlomi,
Natalia T. Freund,
Erez M. Bublil,
Eytan Ruppin,
Roded Sharan,
Jonathan M. Gershoni,
Eric Martz,
Tal Pupko
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm493
Subject(s) - epitope , linear epitope , computational biology , epitope mapping , computer science , context (archaeology) , set (abstract data type) , monoclonal antibody , biology , antigen , antibody , programming language , immunology , paleontology
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.

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