SAbPred: a structure-based antibody prediction server
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Updated: Mar 21, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
James Dunbar1, Konrad Krawczyk2, Jinwoo Leem2
1Department 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.
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.
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