Accurate optimization of amino acid form factors for computing small-angle X-ray scattering intensity of atomistic protein structures.
Accurate optimization of amino acid form factors for computing small-angle X-ray scattering intensity of atomistic protein structures.
复制标题
精确优化氨基酸形状因子，用于计算原子蛋白质结构的小角 X 射线散射强度。
DOI：
10.1107/s1600576716007962
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发表时间：
2016
影响因子：
6.1
通讯作者：
Lu,Lanyuan
中科院分区：
文献类型：
--
作者：
Tong,Dudu;Yang,Sichun;Lu,Lanyuan
Structure modelling via small-angle X-ray scattering (SAXS) data generally requires intensive computations of scattering intensity from any given biomolecular structure, where the accurate evaluation of SAXS profiles using coarse-grained (CG) methods is vital to improve computational efficiency. To date, most CG SAXS computing methods have been based on a single-bead-per-residue approximation but have neglected structural correlations between amino acids. To improve the accuracy of scattering calculations, accurate CG form factors of amino acids are now derived using a rigorous optimization strategy, termed electron-density matching (EDM), to best fit electron-density distributions of protein structures. This EDM method is compared with and tested against other CG SAXS computing methods, and the resulting CG SAXS profiles from EDM agree better with all-atom theoretical SAXS data. By including the protein hydration shell represented by explicit CG water molecules and the correction of protein excluded volume, the developed CG form factors also reproduce the selected experimental SAXS profiles with very small deviations. Taken together, these EDM-derived CG form factors present an accurate and efficient computational approach for SAXS computing, especially when higher molecular details (represented by the q range of the SAXS data) become necessary for effective structure modelling.
