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Insights into equilibrium dynamics of proteins from comparison of NMR and X-ray data with computational predictions

机译:通过将NMR和X射线数据与计算预测进行比较来洞察蛋白质的平衡动力学

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摘要

For a representative set of 64 nonhomologous proteins, each containing a structure solved by NMR and X-ray crystallography, we analyzed the variations in atomic coordinates between NMR models, the temperature (B) factors measured by X-ray crystallography, and the fluctuation dynamics predicted by the Gaussian network model (GNM). The NMR and X-ray data exhibited a correlation of 0.49. The GNM results, on the other hand, yielded a correlation of 0.59 with X-ray data and a distinctively better correlation (0.75) with NMR data. The higher correlation between GNM and NMR data, compared to that between GNM and X-ray B factors, is shown to arise from the differences in the spectrum of modes accessible in solution and in the crystal environment. Mainly, large-amplitude motions sampled in solution are restricted, if not inaccessible, in the crystalline environment of X-rays. Combined GNM and NMR analysis emerges as a useful tool for assessing protein dynamics.
机译:对于一组代表性的64种非同源蛋白质,每个蛋白质都包含通过NMR和X射线晶体学解析的结构,我们分析了NMR模型之间的原子坐标变化,通过X射线晶体学测量的温度(B)因子以及波动动力学由高斯网络模型(GNM)预测。 NMR和X射线数据显示出0.49的相关性。另一方面,GNM结果与X射线数据的相关性为0.59,与NMR数据的相关性显着更好(0.75)。与GNM和X射线B因子之间的相关性相比,GNM和NMR数据之间的相关性更高,这表明是在溶液中和晶体环境中可及的模式光谱的差异。主要地,在溶液中采样的大幅度运动即使在X射线的晶体环境中也是不可或缺的。结合的GNM和NMR分析成为评估蛋白质动力学的有用工具。

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