PEASE: predicting B-cell epitopes utilizing antibody sequence

Sela-Culang, I., Ashkenazi, S. , Peters, B. and Ofran, Y. (2015) PEASE: predicting B-cell epitopes utilizing antibody sequence. Bioinformatics, 31(8), pp. 1313-1315. (doi: 10.1093/bioinformatics/btu790) (PMID:25432167)

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Summary: Antibody epitope mapping is a key step in understanding antibody–antigen recognition and is of particular interest for drug development, diagnostics and vaccine design. Most computational methods for epitope prediction are based on properties of the antigen sequence and/or structure, not taking into account the antibody for which the epitope is predicted. Here, we introduce PEASE, a web server predicting antibody-specific epitopes, utilizing the sequence of the antibody. The predictions are provided both at the residue level and as patches on the antigen structure. The tradeoff between recall and precision can be tuned by the user, by changing the default parameters. The results are provided as text and HTML files as well as a graph, and can be viewed on the antigen 3D structure. Availability and implementation: PEASE is freely available on the web at

Item Type:Articles
Glasgow Author(s) Enlighten ID:Ashkenazi, Shaul
Authors: Sela-Culang, I., Ashkenazi, S., Peters, B., and Ofran, Y.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Bioinformatics
Publisher:Oxford University Press
ISSN (Online):1460-2059
Published Online:27 November 2014

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