TY - JOUR
T1 - Pepitope
T2 - Epitope mapping from affinity-selected peptides
AU - Mayrose, Itay
AU - Penn, Osnat
AU - Erez, Elana
AU - Rubinstein, Nimrod D.
AU - Shlomi, Tomer
AU - Freund, Natalia Tarnovitski
AU - Bublil, Erez M.
AU - Ruppin, Eytan
AU - Sharan, Roded
AU - Gershoni, Jonathan M.
AU - Martz, Eric
AU - Pupko, Tal
N1 - Funding Information:
This study was supported by the Wolfson Foundation (T.P.), ISF grants (T.P., J.M.G., E.R.), BSF grant (J.M.G.), the Israeli Ministry of Science and Technology (T.P., R.S.), Alon fellowship (R.S.), Tauber Fund (E.R.), Safra bioinformatics program (N.D.R., O.P.) and by the US National Science Foundation Division of Undergraduate Education (E.M.).
PY - 2007/12
Y1 - 2007/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=36549031650&partnerID=8YFLogxK
U2 - 10.1093/bioinformatics/btm493
DO - 10.1093/bioinformatics/btm493
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AN - SCOPUS:36549031650
SN - 1367-4803
VL - 23
SP - 3244
EP - 3246
JO - Bioinformatics
JF - Bioinformatics
IS - 23
ER -