Predicting X-ray Diffuse Scattering from Translation Libration Screw Structural Ensembles
Category
Published on
Type
posted-content
Author
Andrew Van Benschoten and Pavel Afonine and Thomas Terwilliger and Michael Wall and Colin Jackson and Nicholas Sauter and Paul Adams and Alexandre Urzhumtsev and James Fraser
Citation
Van Benschoten, A. et al., 2015. Predicting X-ray Diffuse Scattering from Translation Libration Screw Structural Ensembles. Available at: http://dx.doi.org/10.1101/012955.
Abstract
Identifying the intramolecular motions of proteins and nucleic acids is a major challenge in macromolecular X-ray crystallography. While Bragg diffraction describes the average positional distribution of crystalline atoms, many different models can fit this distribution equally well. Diffuse X-ray scattering can reduce this degeneracy by directly reporting on correlated atomic displacements. Although recent technological advances are increasing the potential to accurately measure diffuse scattering, computational modeling and validation tools are still needed to quantify the agreement between experimental data and different parameterizations of crystalline disorder. A new tool, phenix.diffuse, addresses this need by employing Guinier’s equation to calculate diffuse scattering from Protein Data Bank (PDB)-formatted structural ensembles. As an example case, phenix.diffuse is applied to Translation-Libration-Screw (TLS) refinement, which models rigid body displacement for segments of the macromolecule. To enable calculation of diffuse scattering from TLS refined structures, phenix.tls_models builds multi-model PDB files that sample the underlying T, L and S tensors. In the glycerophosphodiesterase GpdQ, alternative TLS group partitioning and different motional correlations between groups yield markedly dissimilar diffuse scattering maps with distinct implications for molecular mechanism and allostery. These methods demonstrate how X-ray diffuse scattering can extend macromolecular structural refinement, validation, and analysis.
DOI
Funding
NSF-STC Biology with X-ray Lasers (NSF-1231306)