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通过晶体学和核磁共振确定的蛋白质结构的大数据集比较:结构差异的统计检验及晶体堆积的影响

A large data set comparison of protein structures determined by crystallography and NMR: statistical test for structural differences and the effect of crystal packing.

作者信息

Andrec Michael, Snyder David A, Zhou Zhiyong, Young Jasmine, Montelione Gaetano T, Levy Ronald M

机构信息

BioMaPS Institute for Quantitative Biology, Northeast Structural Genomics Consortium and Department of Chemistry and Chemical Biology, The State University of New Jersey, Piscataway, New Jersey 08854, USA.

出版信息

Proteins. 2007 Nov 15;69(3):449-65. doi: 10.1002/prot.21507.

Abstract

The existence of a large number of proteins for which both nuclear magnetic resonance (NMR) and X-ray crystallographic coordinates have been deposited into the Protein Data Bank (PDB) makes the statistical comparison of the corresponding crystal and NMR structural models over a large data set possible, and facilitates the study of the effect of the crystal environment and other factors on structure. We present an approach for detecting statistically significant structural differences between crystal and NMR structural models which is based on structural superposition and the analysis of the distributions of atomic positions relative to a mean structure. We apply this to a set of 148 protein structure pairs (crystal vs NMR), and analyze the results in terms of methodological and physical sources of structural difference. For every one of the 148 structure pairs, the backbone root-mean-square distance (RMSD) over core atoms of the crystal structure to the mean NMR structure is larger than the average RMSD of the members of the NMR ensemble to the mean, with 76% of the structure pairs having an RMSD of the crystal structure to the mean more than a factor of two larger than the average RMSD of the NMR ensemble. On average, the backbone RMSD over core atoms of crystal structure to the mean NMR is approximately 1 A. If non-core atoms are included, this increases to 1.4 A due to the presence of variability in loops and similar regions of the protein. The observed structural differences are only weakly correlated with the age and quality of the structural model and differences in conditions under which the models were determined. We examine steric clashes when a putative crystalline lattice is constructed using a representative NMR structure, and find that repulsive crystal packing plays a minor role in the observed differences between crystal and NMR structures. The observed structural differences likely have a combination of physical and methodological causes. Stabilizing attractive interactions arising from intermolecular crystal contacts which shift the equilibrium of the crystal structure relative to the NMR structure is a likely physical source which can account for some of the observed differences. Methodological sources of apparent structural difference include insufficient sampling or other issues which could give rise to errors in the estimates of the precision and/or accuracy.

摘要

大量蛋白质的核磁共振(NMR)和X射线晶体学坐标已存入蛋白质数据库(PDB),这使得在大数据集上对相应的晶体和NMR结构模型进行统计比较成为可能,并有助于研究晶体环境和其他因素对结构的影响。我们提出了一种基于结构叠加以及相对于平均结构的原子位置分布分析来检测晶体和NMR结构模型之间具有统计学显著意义的结构差异的方法。我们将此方法应用于一组148个蛋白质结构对(晶体对NMR),并从结构差异的方法学和物理来源方面分析结果。对于148个结构对中的每一个,晶体结构核心原子相对于平均NMR结构的主链均方根偏差(RMSD)大于NMR系综成员相对于平均值的平均RMSD,76%的结构对中晶体结构相对于平均值的RMSD比NMR系综的平均RMSD大两倍以上。平均而言,晶体结构核心原子相对于平均NMR的主链RMSD约为1埃。如果包括非核心原子,由于蛋白质环和类似区域存在变异性,这一数值会增加到1.4埃。观察到的结构差异与结构模型的年代和质量以及确定模型时的条件差异仅存在微弱关联。当使用代表性的NMR结构构建假定的晶格时,我们检查了空间冲突,发现排斥性晶体堆积在观察到的晶体和NMR结构差异中起的作用较小。观察到的结构差异可能有物理和方法学两方面的原因。分子间晶体接触产生的稳定吸引相互作用使晶体结构相对于NMR结构的平衡发生移动,这可能是一个物理来源,可以解释一些观察到的差异。明显结构差异的方法学来源包括采样不足或其他可能导致精度和/或准确性估计出现误差的问题。

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