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. © The Author 2007. Published by Oxford University Press. All rights reserved.
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CITATION STYLE
Mayrose, I., Penn, O., Erez, E., Rubinstein, N. D., Shlomi, T., Freund, N. T., … Pupko, T. (2007). Pepitope: Epitope mapping from affinity-selected peptides. Bioinformatics, 23(23), 3244–3246. https://doi.org/10.1093/bioinformatics/btm493
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