4.7 Article

Integration of small-angle X-ray scattering data into structural modeling of proteins and their assemblies

期刊

JOURNAL OF MOLECULAR BIOLOGY
卷 382, 期 4, 页码 1089-1106

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jmb.2008.07.074

关键词

small-angle X-ray scattering; quaternary structure; macromolecular assembly modeling; statistical potentials; protein structure prediction

资金

  1. Human Frontier Science Project Organization
  2. National Defense Science and Engineering
  3. Stanford Synchrotron Radiation Laboratory
  4. Department of Energy Basic Energy Sciences Program, and the Stanford Synchrotron Radiation Laboratory Structural Molecular Biology Program
  5. Department of Energy Office of Biological and Environmental Research
  6. National Institutes of Health National Center for Research Resources Biomedical Technology Program [P41 RR001209]
  7. Howard Hughes Medical Institute
  8. University of California Discovery [bio03-10401/Agard]
  9. Sandler Family Supporting Foundation
  10. National Institutes of Health [R01 GM54762, R01 GM083960, U54 RR022220, PN2 EY016525]
  11. National Science Foundation [EIA-032645, IIS-0705196]
  12. Hewlett-Packard, NetApps, IBM, and Intel

向作者/读者索取更多资源

A major challenge in structural biology is to determine the configuration of domains and proteins in multidomain proteins and assemblies, respectively. All available data should be considered to maximize the accuracy and precision of these models. Small-angle X-ray scattering (SAXS) efficiently provides low-resolution experimental data about the shapes of proteins and their assemblies. Thus, we integrated SANS profiles into our software for modeling proteins and their assemblies by satisfaction of spatial restraints. Specifically, we modeled the quaternary structures of multidomain proteins with structurally defined rigid domains as well as quaternary structures of binary complexes of structurally defined rigid proteins. In addition to SAXS profiles and the component structures, we used stereochemical restraints and an atomic distance-dependent statistical potential. The scoring function is optimized by a biased Monte Carlo protocol, including quasi-Newton and simulated annealing schemes. The final prediction corresponds to the best scoring solution in the largest cluster of many independently calculated solutions. To quantify how well the quaternary structures are determined based on their SANS profiles, we used a benchmark of 12 simulated examples as well as an experimental SANS profile of the homotetramer D-xylose isomerase. Optimization of the SAXS-dependent scoring function generally results in accurate models, if sufficiently precise approximations for the constituent rigid bodies are available; otherwise, the best scoring models can have significant errors. Thus, SAXS profiles can play a useful role in the structural characterization of proteins and assemblies if they are combined with additional data and used judiciously. Our integration of a SANS profile into modeling by satisfaction of spatial restraints will facilitate further integration of different kinds of data or structure determination of proteins and their assemblies. (C) 2008 Elsevier Ltd. All rights reserved.

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