Rxivist logo

Measuring and modeling diffuse scattering in protein X-ray crystallography

By Andrew H Van Benschoten, Lin Liu, Ana Gonzalez, Aaron S. Brewster, Nicholas K Sauter, James S. Fraser, Michael E. Wall

Posted 06 Dec 2015
bioRxiv DOI: 10.1101/033746 (published DOI: 10.1073/pnas.1524048113)

X-ray diffraction has the potential to provide rich information about the structural dynamics of macromolecules. To realize this potential, both Bragg scattering, which is currently used to derive macromolecular structures, and diffuse scattering, which reports on correlations in charge density variations must be measured. Until now measurement of diffuse scattering from protein crystals has been scarce, due to the extra effort of collecting diffuse data. Here, we present three-dimensional measurements of diffuse intensity collected from crystals of the enzymes cyclophilin A and trypsin. The measurements were obtained from the same X-ray diffraction images as the Bragg data, using best practices for standard data collection. To model the underlying dynamics in a practical way that could be used during structure refinement, we tested Translation-Libration-Screw (TLS), Liquid-Like Motions (LLM), and coarse-grained Normal Modes (NM) models of protein motions. The LLM model provides a global picture of motions and were refined against the diffuse data, while the TLS and NM models provide more detailed and distinct descriptions of atom displacements, and only used information from the Bragg data. Whereas different TLS groupings yielded similar Bragg intensities, they yielded different diffuse intensities, none of which agreed well with the data. In contrast, both the LLM and NM models agreed substantially with the diffuse data. These results demonstrate a realistic path to increase the number of diffuse datasets available to the wider biosciences community and indicate that NM-based refinement can generate dynamics-inspired structural models that simultaneously agree with both Bragg and diffuse scattering.

Download data

  • Downloaded 933 times
  • Download rankings, all-time:
    • Site-wide: 12,719 out of 88,857
    • In biophysics: 411 out of 3,870
  • Year to date:
    • Site-wide: 49,796 out of 88,857
  • Since beginning of last month:
    • Site-wide: 62,885 out of 88,857

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)