Pepitope: epitope mapping from affinity-selected peptides

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 monoc...

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Published inBioinformatics Vol. 23; no. 23; pp. 3244 - 3246
Main Authors Mayrose, Itay, Penn, Osnat, Erez, Elana, Rubinstein, Nimrod D., Shlomi, Tomer, Freund, Natalia Tarnovitski, Bublil, Erez M., Ruppin, Eytan, Sharan, Roded, Gershoni, Jonathan M., Martz, Eric, Pupko, Tal
Format Journal Article Web Resource
LanguageEnglish
Published Oxford Oxford University Press 01.12.2007
Oxford Publishing Limited (England)
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Summary: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/ Contact: talp@post.tau.ac.il
Bibliography:istex:15C902BA76D1A6AB92574326139F3AECB485E127
To whom correspondence should be addressed.
ark:/67375/HXZ-CF72SDWL-3
Associate Editor: Alfonso Valencia
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ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btm493