McGreevy Ryan, Singharoy Abhishek, Li Qufei, Zhang Jingfen, Xu Dong, Perozo Eduardo, Schulten Klaus
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637, USA.
Acta Crystallogr D Biol Crystallogr. 2014 Sep;70(Pt 9):2344-55. doi: 10.1107/S1399004714013856. Epub 2014 Aug 29.
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.
X射线晶体学仍然是解析原子结构最主要的方法。然而,对于相对较大的体系,仅获得中低分辨率的衍射数据常常限制了对所有原子细节的确定。本文报道了一种基于分子动力学柔性拟合(MDFF)的新方法xMDFF,用于从此类低分辨率晶体学数据中确定结构。xMDFF采用实空间精修方案,将原子模型灵活拟合到迭代更新的电子密度图中。如通过D-核糖结合蛋白的合成低分辨率图测试所示,它能处理初始模型的显著大规模变形以拟合低分辨率密度。xMDFF已成功应用于重新精修六个不同大小、已提交至蛋白质数据库的低分辨率蛋白质结构。最后,通过对一系列分辨率从3.6到7 Å的数据进行系统精修,xMDFF精修结合电生理实验被用于验证电压感应蛋白Ci-VSP的首个全原子结构。