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Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering
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SCT: a suite of programs for comparing atomistic models with small-angle scattering data.

David W Wright1, Stephen J Perkins1

  • 1Department of Structural and Molecular Biology, Division of Biosciences, University College London , Darwin Building, Gower Street, London WC1E 6BT, UK.

Journal of Applied Crystallography
|June 20, 2015
PubMed
Summary

Small-angle scattering techniques, like X-ray and neutron scattering, help determine protein structures in solution. The SCT software suite, now open-source, aids in modeling these structures and analyzing scattering data.

Keywords:
X-ray scatteringanalytical ultracentrifugationconstrained modellinghydration shellsneutron scattering

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Area of Science:

  • Biophysics
  • Structural Biology
  • Computational Biology

Background:

  • Small-angle X-ray and neutron scattering (SAXS/SANS) are crucial for characterizing protein structures in solution, especially for large proteins or those sensitive to crystallization conditions.
  • Generating atomistic models of protein structures from scattering data requires sophisticated computational methods, including constrained modeling and fitting theoretical curves to experimental results.
  • Existing tools for analyzing scattering data and generating models were limited in accessibility and ease of use.

Purpose of the Study:

  • To develop and release the SCT (Scattering Curve Tool) software suite for facilitating the computation of theoretical scattering curves from atomistic models.
  • To enable easier comparison of theoretical scattering data with experimental results for structural determination.
  • To provide open-source access to advanced tools for protein structure analysis using scattering techniques.

Main Methods:

  • Development of the SCT software suite, including original Fortran and a new Python implementation, to compute theoretical scattering curves from atomistic models.
  • Incorporation of algorithms for sequence-based protein volume estimation (with and without hydration) and adding hydration layers for X-ray scattering.
  • Constrained modeling approach: combining known domain structures with linker models to generate thousands of candidate global conformations for fitting.

Main Results:

  • The SCT suite enables efficient computation of theoretical scattering curves and fitting to experimental data, leading to the identification of best-fit structural models.
  • The software facilitates the generation of atomistic scattering structures, with 77 structures for antibodies, complement proteins, and oligosaccharides determined between 1998-2014 using the original version.
  • Both Fortran and Python versions of SCT are now publicly available as open-source software under the Apache 2 license.

Conclusions:

  • The SCT software suite significantly enhances the capability to determine and model protein structures in solution using small-angle scattering data.
  • The public release of SCT, particularly the user-friendly Python version, democratizes access to advanced structural biology tools.
  • Open-source availability promotes wider adoption and further development in the field of biophysical characterization of macromolecules.