title: SAbPred: a structure-based antibody prediction server.
abstract: SAbPred is a server that makes predictions of the properties of antibodies focusing on their structures. Antibody informatics tools can help improve our understanding of immune responses to disease and aid in the design and engineering of therapeutic molecules. SAbPred is a single platform containing multiple applications which can: number and align sequences; automatically generate antibody variable fragment homology models; annotate such models with estimated accuracy alongside sequence and structural properties including potential developability issues; predict paratope residues; and predict epitope patches on protein antigens. The server is available at http://opig.stats.ox.ac.uk/webapps/sabpred.
authors.affiliation: Department of Statistics, Oxford Protein Informatics Group, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, UK Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, Nonnenwald 2, 82377, Penzberg, Germany.
authors.forename: James
authors.initials: J
authors.lastname: Dunbar
authors.affiliation: Department of Statistics, Oxford Protein Informatics Group, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, UK.
authors.forename: Konrad
authors.initials: K
authors.lastname: Krawczyk
authors.affiliation: Department of Statistics, Oxford Protein Informatics Group, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, UK.
authors.forename: Jinwoo
authors.initials: J
authors.lastname: Leem
authors.affiliation: Department of Statistics, Oxford Protein Informatics Group, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, UK.
authors.forename: Claire
authors.initials: C
authors.lastname: Marks
authors.affiliation: Department of Statistics, Oxford Protein Informatics Group, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, UK.
authors.forename: Jaroslaw
authors.initials: J
authors.lastname: Nowak
authors.affiliation: Department of Statistics, Oxford Protein Informatics Group, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, UK.
authors.forename: Cristian
authors.initials: C
authors.lastname: Regep
authors.affiliation: Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, Nonnenwald 2, 82377, Penzberg, Germany.
authors.forename: Guy
authors.initials: G
authors.lastname: Georges
authors.affiliation: Informatics Department, UCB Pharma, 208 Bath Road, Slough, SL1 3WE, UK.
authors.forename: Sebastian
authors.initials: S
authors.lastname: Kelm
authors.affiliation: Antibody Discovery and Protein Engineering, Medimmune Ltd, Granta Park, Cambridge, CB21 6GH, UK.
authors.forename: Bojana
authors.initials: B
authors.lastname: Popovic
authors.affiliation: Department of Statistics, Oxford Protein Informatics Group, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, UK deane@stats.ox.ac.uk.
authors.forename: Charlotte M
authors.initials: CM
authors.lastname: Deane
mesh_terms: D000465:Algorithms; D000906:Antibodies / Q000737:chemistry* / Q000276:immunology*; D000941:Antigens / Q000737:chemistry / Q000276:immunology; D001666:Binding Sites, Antibody / Q000276:immunology; D000939:Epitopes / Q000737:chemistry / Q000276:immunology; D007135:Immunoglobulin Variable Region / Q000737:chemistry / Q000276:immunology; D020407:Internet; D008958:Models, Molecular; D058977:Molecular Sequence Annotation; D012984:Software; D014584:User-Computer Interface
chemical_list: D000906:Antibodies; D000941:Antigens; D000939:Epitopes; D007135:Immunoglobulin Variable Region