RosettaAntibody: antibody variable region homology modeling server

被引:117
作者
Sircar, Aroop [1 ]
Kim, Eric T. [2 ,3 ]
Gray, Jeffrey J. [1 ,4 ,5 ]
机构
[1] Johns Hopkins Univ, Dept Chem & Biomol Engn, Baltimore, MD 21218 USA
[2] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA
[3] Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA
[4] Johns Hopkins Univ, Program Mol Biophys, Baltimore, MD 21218 USA
[5] Johns Hopkins Univ, Sidney Kimmel Comprehens Canc Ctr, Baltimore, MD 21218 USA
基金
美国国家卫生研究院;
关键词
PROTEIN-PROTEIN DOCKING; COMPUTATIONAL DOCKING; LOOP PREDICTION; WEB SERVER; COMPLEXES; ALGORITHM; ANTIGEN; FLEXIBILITY; REFINEMENT; ENSEMBLES;
D O I
10.1093/nar/gkp387
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
The RosettaAntibody server (http://antibody.graylab.jhu.edu) predicts the structure of an antibody variable region given the amino-acid sequences of the respective light and heavy chains. In an initial stage, the server identifies and displays the most sequence homologous template structures for the light and heavy framework regions and each of the complementarity determining region (CDR) loops. Subsequently, the most homologous templates are assembled into a side-chain optimized crude model, and the server returns a picture and coordinate file. For users requesting a high-resolution model, the server executes the full RosettaAntibody protocol which additionally models the hyper-variable CDR H3 loop. The high-resolution protocol also relieves steric clashes by optimizing the CDR backbone torsion angles and by simultaneously perturbing the relative orientation of the light and heavy chains. RosettaAntibody generates 2000 independent structures, and the server returns pictures, coordinate files, and detailed scoring information for the 10 top-scoring models. The 10 models enable users to use rational judgment in choosing the best model or to use the set as an ensemble for further studies such as docking. The high-resolution models generated by RosettaAntibody have been used for the successful prediction of antibody-antigen complex structures.
引用
收藏
页码:W474 / W479
页数:6
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