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BEPITOPE: predicting the location of continuous epitopes and patterns in proteins
Author(s) -
Odorico Michael,
Pellequer JeanLuc
Publication year - 2003
Publication title -
journal of molecular recognition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 79
eISSN - 1099-1352
pISSN - 0952-3499
DOI - 10.1002/jmr.602
Subject(s) - epitope , computational biology , computer science , glycosylation , monoclonal antibody , genome , data mining , artificial intelligence , biology , antibody , biochemistry , genetics , gene
In growing need of obtaining highly specific monoclonal antibodies against novel proteins, we developed new functions implemented in the program BEPITOPE to predict continuous protein epitopes. This program not only can compute, combine, display and print prediction profiles, but also provides a list of suggested linear peptides to be synthesized. Novel facilities incorporated in BEPITOPE include the treatment of a whole genome, the search for a user‐defined pattern, and the combination of prediction to pattern profiles. This latter approach is useful to remove unwanted predictions such as those including glycosylation sites. Copyright © 2003 John Wiley & Sons, Ltd.