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利用弹性网络模型揭示大肠杆菌核糖结合蛋白的构象运动和残基波动分析

Analysis of conformational motions and residue fluctuations for Escherichia coli ribose-binding protein revealed with elastic network models.

作者信息

Li Hai Yan, Cao Zan Xia, Zhao Li Ling, Wang Ji Hua

机构信息

Shandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Dezhou University, 566 University Road West, Dezhou 253023, China.

出版信息

Int J Mol Sci. 2013 May 21;14(5):10552-69. doi: 10.3390/ijms140510552.

Abstract

The ribose-binding protein (RBP) is a sugar-binding bacterial periplasmic protein whose function is associated with a large allosteric conformational change from an open to a closed conformation upon binding to ribose. The open (ligand-free) and closed (ligand-bound) forms of RBP have been found. Here we investigate the conformational motions and residue fluctuations of the RBP by analyzing the modes of motion with two coarse-grained elastic network models, the Gaussian Network Model (GNM) and Anisotropic Network Model (ANM). The calculated B-factors in both the calculated models are in good agreement with the experimentally determined B-factors in X-ray crystal structures. The slowest mode analysis by GNM shows that both forms have the same motion hinge axes around residues Ser103, Gln235, Asp264 and the two domains of both structures have similar fluctuation range. The superposition of the first three dominant modes of ANM, consisting of the rotating, bending and twisting motions of the two forms, accounts for large rearrangement of domains from the ligand-free (open) to ligand-bound (closed) conformation and thus constitutes a critical component of the RBP's functions. By analyzing cross-correlations between residue fluctuation and the difference-distance plot, it is revealed that the conformational change can be described as a rigid rotation of the two domains with respect to each other, whereas the internal structure of the two domains remains largely intact. The results directly indicate that the dominant dynamic characteristics of protein structures can be captured from their static native state using coarse-grained models.

摘要

核糖结合蛋白(RBP)是一种糖结合细菌周质蛋白,其功能与结合核糖后从开放构象到封闭构象的大型别构构象变化有关。已经发现了RBP的开放(无配体)和封闭(结合配体)形式。在这里,我们通过用两种粗粒度弹性网络模型,即高斯网络模型(GNM)和各向异性网络模型(ANM)分析运动模式,来研究RBP的构象运动和残基波动。两个计算模型中计算得到的B因子与X射线晶体结构中实验测定的B因子高度吻合。GNM的最慢模式分析表明,两种形式在残基Ser103、Gln235、Asp264周围具有相同的运动铰链轴,并且两种结构的两个结构域具有相似的波动范围。ANM的前三个主导模式的叠加,包括两种形式的旋转、弯曲和扭曲运动,解释了从无配体(开放)到结合配体(封闭)构象的结构域的大量重排,因此构成了RBP功能的关键组成部分。通过分析残基波动与差异距离图之间的交叉相关性,发现构象变化可以描述为两个结构域相对于彼此的刚性旋转,而两个结构域的内部结构在很大程度上保持完整。结果直接表明,使用粗粒度模型可以从蛋白质结构的静态天然状态捕捉其主要动态特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6635/3676853/dde9909a4fae/ijms-14-10552f1.jpg

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