期刊
JOURNAL OF STRUCTURAL BIOLOGY
卷 196, 期 3, 页码 340-349出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2016.08.001
关键词
Integration; SAXS; Footprinting; Modeling
资金
- National Institutes of Health [R01GM114056]
- Ohio Supercomputer Center
Structural determination of protein-protein complexes such as multidomain nuclear receptors has been challenging for high-resolution structural techniques. Here, we present a combined use of multiple biophysical methods, termed iSPOT, an integration of shape information from small-angle X-ray scattering (SAXS), protection factors probed by hydroxyl radical footprinting, and a large series of computationally docked conformations from rigid-body or molecular dynamics (MD) simulations. Specifically tested on two model systems, the power of iSPOT is demonstrated to accurately predict the structures of a large protein-protein complex (TGF beta-FKBP12) and a multidomain nuclear receptor homodimer (HNF-4 alpha), based on the structures of individual components of the complexes. Although neither SAXS nor footprinting alone can yield an unambiguous picture for each complex, the combination of both, seamlessly integrated in iSPOT, narrows down the best-fit structures that are about 3.2 angstrom and 4.2 angstrom in RMSD from their corresponding crystal structures, respectively. Furthermore, this proof-of-principle study based on the data synthetically derived from available crystal structures shows that the iSPOT-using either rigid-body or MD-based flexible docking is capable of overcoming the shortcomings of standalone computational methods, especially for HNF-4 alpha. By taking advantage of the integration of SAXS-based shape information and footprinting-based protection/accessibility as well as computational docking, this iSPOT platform is set to be a powerful approach towards accurate integrated modeling of many challenging multiprotein complexes. (C) 2016 Elsevier Inc. All rights reserved.
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