title: Antibody specific epitope prediction-emergence of a new paradigm.
abstract: The development of accurate tools for predicting B-cell epitopes is important but difficult. Traditional methods have examined which regions in an antigen are likely binding sites of an antibody. However, it is becoming increasingly clear that most antigen surface residues will be able to bind one or more of the myriad of possible antibodies. In recent years, new approaches have emerged for predicting an epitope for a specific antibody, utilizing information encoded in antibody sequence or structure. Applying such antibody-specific predictions to groups of antibodies in combination with easily obtainable experimental data improves the performance of epitope predictions. We expect that further advances of such tools will be possible with the integration of immunoglobulin repertoire sequencing data.
authors.affiliation: The Goodman Faculty of Life Sciences, Nanotechnology Building, Bar-Ilan University, Ramat Gan 52900, Israel.
authors.forename: Inbal
authors.initials: I
authors.lastname: Sela-Culang
authors.affiliation: The Goodman Faculty of Life Sciences, Nanotechnology Building, Bar-Ilan University, Ramat Gan 52900, Israel.
authors.forename: Yanay
authors.initials: Y
authors.lastname: Ofran
authors.affiliation: La Jolla Institute for Allergy and Immunology, Division of Vaccine Discovery, 9420 Athena Circle, La Jolla, CA 92037, USA. Electronic address: bpeters@liai.org.
authors.forename: Bjoern
authors.initials: B
authors.lastname: Peters
mesh_terms: D000818:Animals; D000906:Antibodies / Q000276:immunology*; D019295:Computational Biology / Q000379:methods*; D018985:Epitopes, B-Lymphocyte / Q000276:immunology*; D006801:Humans; D007136:Immunoglobulins / Q000737:chemistry / Q000235:genetics*; D017422:Sequence Analysis, DNA
chemical_list: D000906:Antibodies; D018985:Epitopes, B-Lymphocyte; D007136:Immunoglobulins
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