title: Prediction of Antibody Epitopes.
abstract: Antibodies recognize their cognate antigens in a precise and effective way. In order to do so, they target regions of the antigenic molecules that have specific features such as large exposed areas, presence of charged or polar atoms, specific secondary structure elements, and lack of similarity to self-proteins. Given the sequence or the structure of a protein of interest, several methods exploit such features to predict the residues that are more likely to be recognized by an immunoglobulin. Here, we present two methods (BepiPred and DiscoTope) to predict linear and discontinuous antibody epitopes from the sequence and/or the three-dimensional structure of a target protein.
authors.affiliation: Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark.|Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina.
authors.forename: Morten
authors.initials: M
authors.lastname: Nielsen
authors.affiliation: Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark. paolo.marcatili@gmail.com.
authors.forename: Paolo
authors.initials: P
authors.lastname: Marcatili
mesh_terms: D000906:Antibodies / Q000737:chemistry* / Q000276:immunology / Q000378:metabolism; D000941:Antigens / Q000737:chemistry / Q000276:immunology / Q000378:metabolism; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D018604:Epitope Mapping / Q000379:methods; D000939:Epitopes / Q000737:chemistry* / Q000276:immunology / Q000378:metabolism; D008958:Models, Molecular; D011485:Protein Binding; D011487:Protein Conformation; D012984:Software; D064878:Web Browser
chemical_list: D000906:Antibodies; D000941:Antigens; D000939:Epitopes
keywords: Discontinuous epitope; Epitope; Linear epitope; Prediction