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SAbPred: a structure-based antibody prediction server

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 containin...

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Detalles Bibliográficos
Autores principales: Dunbar, James, Krawczyk, Konrad, Leem, Jinwoo, Marks, Claire, Nowak, Jaroslaw, Regep, Cristian, Georges, Guy, Kelm, Sebastian, Popovic, Bojana, Deane, Charlotte M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987913/
https://www.ncbi.nlm.nih.gov/pubmed/27131379
http://dx.doi.org/10.1093/nar/gkw361
Descripción
Sumario: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.