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XMDFF: molecular dynamics flexible fitting of low-resolution X-ray structures.


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.

SUBMITTER: McGreevy R 

PROVIDER: S-EPMC4157446 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

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xMDFF: molecular dynamics flexible fitting of low-resolution X-ray structures.

McGreevy Ryan R   Singharoy Abhishek A   Li Qufei Q   Zhang Jingfen J   Xu Dong D   Perozo Eduardo E   Schulten Klaus K  

Acta crystallographica. Section D, Biological crystallography 20140829 Pt 9


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  ...[more]

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