SAbPred: a structure-based antibody prediction server.
SAbPred: a structure-based antibody prediction server.
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DOI:
10.1093/nar/gkw361
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发表时间:
2016-07-08
影响因子:
14.9
通讯作者:
Deane CM
中科院分区:
文献类型:
--
作者:
Dunbar J;Krawczyk K;Leem J;Marks C;Nowak J;Regep C;Georges G;Kelm S;Popovic B;Deane CM
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.