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SAbPred: a structure-based antibody prediction server

2016; Oxford University Press; Volume: 44; Issue: W1 Linguagem: Inglês

10.1093/nar/gkw361

1362-4962

James B. Dunbar, Konrad Krawczyk, Jinwoo Leem, Claire Marks, Jarosław Nowak, Cristian Regep, Guy Georges, Sebastian Kelm, Bojana Popovic, Charlotte M. Deane,

vaccines and immunoinformatics approaches

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.