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Normal Mode Flexible Fitting of High-Resolution Structures of Biological Molecules Toward SAXS Data

机译:生物分子的高分辨率结构对SAXS数据的正态模态拟合

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摘要

We present a method to reconstruct a three-dimensional protein structure from an atomic pair distribution function derived from the scattering intensity profile from SAXS data by flexibly fitting known x-ray structures. This method uses a linear combination of low-frequency normal modes from an elastic network description of the molecule in an iterative manner to deform the structure to conform optimally to the target pair distribution function derived from SAXS data. For computational efficiency, the protein and water molecules included in the protein first hydration shell are coarse-grained. In this paper, we demonstrate the validity of our coarse-graining approach to study SAXS data. Illustrative results of our flexible fitting studies on simulated SAXS data from five different proteins are presented.
机译:我们提出了一种方法,可以通过灵活地拟合已知的X射线结构,根据来自SAXS数据的散射强度分布的原子对分布函数,重构三维蛋白质结构。该方法以迭代方式使用来自分子的弹性网络描述的低频法线模式的线性组合来使结构变形以最佳地符合从SAXS数据得出的目标对分布函数。为了提高计算效率,将包含在蛋白质第一水合壳中的蛋白质和水分子进行粗粒度处理。在本文中,我们证明了使用粗粒度方法研究SAXS数据的有效性。给出了我们对来自五种不同蛋白质的模拟SAXS数据进行的灵活拟合研究的说明性结果。

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