Grishaev Alexander, Bax Ad
Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, USA.
J Am Chem Soc. 2004 Jun 16;126(23):7281-92. doi: 10.1021/ja0319994.
A new multidimensional potential is described that encodes for the relative spatial arrangement of the peptidyl backbone units as observed within a large database of high-resolution X-ray structures. The detailed description afforded by such an analysis provides an opportunity to study the atomic details of hydrogen bonding in proteins. The specification of the corresponding potential of mean force (PMF) is based on a defined set of physical principles and optimized to yield the maximum advantage when applied to protein structure refinement. The observed intricate differences between hydrogen-bonding geometries within various patterns of secondary structure allow application of the PMF to both validation of protein structures and their refinement. A pronounced improvement of several aspects of structural quality is observed following the application of such a potential to a variety of NMR-derived models, including a noticeable decrease in backbone coordinate root-mean-square deviation relative to the X-ray structures and a considerable improvement in the Ramachandran map statistics.
描述了一种新的多维势,它编码了在高分辨率X射线结构的大型数据库中观察到的肽基主链单元的相对空间排列。这种分析提供的详细描述为研究蛋白质中氢键的原子细节提供了机会。平均力势(PMF)的相应规范基于一组定义的物理原理,并经过优化,以便在应用于蛋白质结构优化时产生最大优势。在各种二级结构模式中观察到的氢键几何结构之间复杂的差异,使得PMF可用于蛋白质结构的验证及其优化。将这种势应用于各种核磁共振衍生模型后,在结构质量的几个方面都观察到了显著改善,包括相对于X射线结构,主链坐标均方根偏差显著降低,以及拉氏图统计数据有相当大的改善。