Macromolecular docking restrained by a small angle X-ray scattering profile

被引:69
作者
Schneidman-Duhovny, Dina [1 ,2 ]
Hammel, Michal [3 ]
Sali, Andrej [1 ,2 ]
机构
[1] Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, Dept Pharmaceut Chem, San Francisco, CA 94158 USA
[2] Univ Calif San Francisco, Calif Inst Quantitat Biosci QB3, San Francisco, CA 94158 USA
[3] Lawrence Berkeley Lab, Phys Biosci Div, Berkeley, CA 94720 USA
关键词
Small angle X-ray scattering (SAXS); Protein-protein docking; Macromolecular assembly; FAST INTERACTION REFINEMENT; PROTEIN-PROTEIN DOCKING; BIOLOGICAL MACROMOLECULES; WEB SERVER; COMPLEXES; OPTIMIZATION; PREDICTIONS; ASSEMBLIES; COMPUTATION; GEOMETRY;
D O I
10.1016/j.jsb.2010.09.023
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
While many structures of single protein components are becoming available, structural characterization of their complexes remains challenging. Methods for modeling assembly structures from individual components frequently suffer from large errors, due to protein flexibility and inaccurate scoring functions. However, when additional information is available, it may be possible to reduce the errors and compute near-native complex structures. One such type of information is a small angle X-ray scattering (SAXS) profile that can be collected in a high-throughput fashion from a small amount of sample in solution. Here, we present an efficient method for protein-protein docking with a SAXS profile (FoXSDock): generation of complex models by rigid global docking with PatchDock, filtering of the models based on the SAXS profile, clustering of the models, and refining the interface by flexible docking with FireDock. FoXSDock is benchmarked on 124 protein complexes with simulated SAXS profiles, as well as on 6 complexes with experimentally determined SAXS profiles. When induced fit is less than 1.5 angstrom interface C-alpha RMSD and the fraction residues of missing from the component structures is less than 3%. FoXSDock can find a model close to the native structure within the top 10 predictions in 77% of the cases; in comparison, docking alone succeeds in only 34% of the cases. Thus, the integrative approach significantly improves on molecular docking alone. The improvement arises from an increased resolution of rigid docking sampling and more accurate scoring. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:461 / 471
页数:11
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