xMDFF: molecular dynamics flexible fitting of low-resolution X-ray structures
By Ryan McGreevy, Abhishek Singharoy, Qufei Li, Jingfen Zhang, Dong Xu, Eduardo Perozo, and Klaus Schulten.
Published in Acta Crystallogr D Biol Crystallogr. 2014 Sep;70(Pt 9):2344-55. PMID: 25195748. PMCID: PMC4157446. Link to publication page.
Core Facilities: Membrane Protein Expression and Purification and Computational Modeling.
Abstract
X-ray crystallography remains the most dominant method for solving atomic structures. However, for relatively large systems, the availability of only medium-to-low-resolution diffraction data often limits the determination of all-atom details. A new molecular dynamics flexible fitting (MDFF)-based approach, xMDFF, for determining structures from such low-resolution crystallographic data is reported. xMDFF employs a real-space refinement scheme that flexibly fits atomic models into an iteratively updating electron-density map. It addresses significant large-scale deformations of the initial model to fit the low-resolution density, as tested with synthetic low-resolution maps of d-ribose-binding protein. xMDFF has been successfully applied to re-refine six low-resolution protein structures of varying sizes that had already been submitted to the Protein Data Bank. Finally, via systematic refinement of a series of data from 3.6 to 7 Å resolution, xMDFF refinements together with electrophysiology experiments were used to validate the first all-atom structure of the voltage-sensing protein Ci-VSP.