SAbPred: a structure-based antibody prediction server

被引：136
作者：
Dunbar, James [1 ,2 ]
Krawczyk, Konrad [1 ]
Leem, Jinwoo [1 ]
Marks, Claire [1 ]
Nowak, Jaroslaw [1 ]
Regep, Cristian [1 ]
Georges, Guy [2 ]
Kelm, Sebastian [3 ]
Popovic, Bojana [4 ]
Deane, Charlotte M. [1 ]
机构：
[1] Univ Oxford, Oxford Prot Informat Grp, Dept Stat, 24-29 St Giles, Oxford OX1 3LB, England
[2] Roche Innovat Ctr Munich, Large Mol Res, Pharma Res & Early Dev, Nonnenwald 2, D-82377 Penzberg, Germany
[3] UCB Pharma, Informat Dept, 208 Bath Rd, Slough SL1 3WE, Berks, England
[4] Medimmune Ltd, Antibody Discovery & Prot Engn, Granta Pk, Cambridge CB21 6GH, England
来源：
NUCLEIC ACIDS RESEARCH | 2016年 / 44卷 / W1期
关键词：
VARIABLE DOMAINS; MODELING ASSESSMENT; DOCKING; CLASSIFICATION; IMMUNOGLOBULIN; CONFORMATIONS; DATABASE; TOOL;
D O I：
10.1093/nar/gkw361
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：W474 / W478
页数：5
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