Best Robert B, Lindorff-Larsen Kresten, DePristo Mark A, Vendruscolo Michele
Department of Chemistry, Cambridge University, Lensfield Road, Cambridge CB2 1EW, United Kingdom.
Proc Natl Acad Sci U S A. 2006 Jul 18;103(29):10901-6. doi: 10.1073/pnas.0511156103. Epub 2006 Jul 7.
Different experimental structures of the same protein or of proteins with high sequence similarity contain many small variations. Here we construct ensembles of "high-sequence similarity Protein Data Bank" (HSP) structures and consider the extent to which such ensembles represent the structural heterogeneity of the native state in solution. We find that different NMR measurements probing structure and dynamics of given proteins in solution, including order parameters, scalar couplings, and residual dipolar couplings, are remarkably well reproduced by their respective high-sequence similarity Protein Data Bank ensembles; moreover, we show that the effects of uncertainties in structure determination are insufficient to explain the results. These results highlight the importance of accounting for native-state protein dynamics in making comparisons with ensemble-averaged experimental data and suggest that even a modest number of structures of a protein determined under different conditions, or with small variations in sequence, capture a representative subset of the true native-state ensemble.
相同蛋白质或具有高度序列相似性的蛋白质的不同实验结构包含许多小的差异。在这里,我们构建了“高序列相似性蛋白质数据库”(HSP)结构的集合,并考虑了这些集合在多大程度上代表溶液中天然状态的结构异质性。我们发现,探测溶液中给定蛋白质结构和动力学的不同核磁共振测量,包括序参数、标量耦合和残余偶极耦合,由它们各自的高序列相似性蛋白质数据库集合能得到非常好的重现;此外,我们表明结构测定中不确定性的影响不足以解释这些结果。这些结果突出了在与集合平均实验数据进行比较时考虑天然状态蛋白质动力学的重要性,并表明即使是在不同条件下测定的、或序列有小差异的少量蛋白质结构,也能捕获真实天然状态集合的一个代表性子集。