@article {681,
	title = {Pepitope: epitope mapping from affinity-selected peptides.},
	journal = {Bioinformatics},
	volume = {23},
	year = {2007},
	month = {2007 Dec 1},
	pages = {3244-6},
	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. AVAILABILITY: http://pepitope.tau.ac.il/},
	keywords = {Algorithms, Amino Acid Sequence, Binding Sites, Epitope Mapping, Molecular Sequence Data, Peptides, Protein Binding, Sequence Alignment, Sequence Analysis, Protein, Software},
	issn = {1367-4811},
	doi = {10.1093/bioinformatics/btm493},
	author = {Mayrose, Itay and Penn, Osnat and Erez, Elana and Rubinstein, Nimrod D and Shlomi, Tomer and Freund, Natalia Tarnovitski and Bublil, Erez M and Ruppin, Eytan and Sharan, Roded and Gershoni, Jonathan M and Martz, Eric and Pupko, Tal}
}
