Martin Benjamin P, Brandon Christopher J, Stewart James J P, Braun-Sand Sonja B
Department of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, 80918.
Stewart Computational Chemistry, 15210 Paddington Circle, Colorado Springs, CO, 80921.
Proteins. 2015 Aug;83(8):1427-35. doi: 10.1002/prot.24826. Epub 2015 Jun 6.
Using the semiempirical method PM7, an attempt has been made to quantify the error in prediction of the in vivo structure of proteins relative to X-ray structures. Three important contributory factors are the experimental limitations of X-ray structures, the difference between the crystal and solution environments, and the errors due to PM7. The geometries of 19 proteins from the Protein Data Bank that had small R values, that is, high accuracy structures, were optimized and the resulting drop in heat of formation was calculated. Analysis of the changes showed that about 10% of this decrease in heat of formation was caused by faults in PM7, the balance being attributable to the X-ray structure and the difference between the crystal and solution environments. A previously unknown fault in PM7 was revealed during tests to validate the geometries generated using PM7. Clashscores generated by the Molprobity molecular mechanics structure validation program showed that PM7 was predicting unrealistically close contacts between nonbonding atoms in regions where the local geometry is dominated by very weak noncovalent interactions. The origin of this fault was traced to an underestimation of the core-core repulsion between atoms at distances smaller than the equilibrium distance.
使用半经验方法PM7,已尝试量化蛋白质体内结构相对于X射线结构预测中的误差。三个重要的促成因素是X射线结构的实验局限性、晶体环境与溶液环境之间的差异以及PM7产生的误差。对蛋白质数据库中19个具有小R值(即高精度结构)的蛋白质的几何结构进行了优化,并计算了由此产生的生成热下降。对这些变化的分析表明,生成热下降的约10%是由PM7中的缺陷引起的,其余部分归因于X射线结构以及晶体环境与溶液环境之间的差异。在验证使用PM7生成的几何结构的测试过程中,发现了PM7中一个以前未知的缺陷。由Molprobity分子力学结构验证程序生成的冲突分数表明,在局部几何结构由非常弱的非共价相互作用主导的区域,PM7预测非键合原子之间的接触过于紧密,不符合实际情况。该缺陷的根源可追溯到对距离小于平衡距离的原子之间的核心-核心排斥力估计不足。