期刊
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
卷 132, 期 44, 页码 15484-15486出版社
AMER CHEMICAL SOC
DOI: 10.1021/ja106173n
关键词
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资金
- NIDDK, NIH
- Office of the Director, NIH
- U.S. Department of Energy [W-31-109-ENG-38]
- BioCAT Research Center
- NIH [RR-08630]
- NCI, NIH [PUP-77]
- Argonne National Laboratory [PUP-77]
A new procedure, AXES, is introduced for fitting small-angle X-ray scattering (SAXS) data to macromolecular structures and ensembles of structures. By using explicit water models to account for the effect of solvent, and by restricting the adjustable fitting parameters to those that dominate experimental uncertainties, including sample/buffer rescaling, detector dark current, and, within a narrow range, hydration layer density, superior fits between experimental high resolution structures and SAXS data are obtained. AXES results are found to be more discriminating than standard Crysol fitting of SAXS data when evaluating poorly or incorrectly modeled protein structures. AXES results for ensembles of structures previously generated for ubiquitin show improved fits over fitting of the individual members of these ensembles, indicating these ensembles capture the dynamic behavior of proteins in solution.
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