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首页> 外文期刊>Journal of the American Society for Mass Spectrometry >Statistical analysis of ion mobility spectrometry. II. adaptively biased methods, shape correlations
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Statistical analysis of ion mobility spectrometry. II. adaptively biased methods, shape correlations

机译:离子迁移谱的统计分析。二。自适应偏置方法,形状相关

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摘要

Following a recent effort [J. Am. Soc. Mass Spectrom. 23, 386-396 (2012)], we continue to explore computational methodologies for generating molecular conformations to support collisional cross sections suggested by ion mobility measurements. Here, adaptively biased molecular dynamics (ABMD) simulations are used to sample the configuration space, to achieve flat-histogram sampling along the reaction coordinates of the first two moments of the gyration tensor. The method is tested, compared with replica-exchange simulations on triplyprotonated bradykinin, on a larger 25-residue peptide. It is found to have a much higher efficiency for producing large sets of conformations in a broad range of diffusion cross-sections, whereas it does not compete with conventional replica-exchange molecular dynamics in locating the lowest-energy structure. Nevertheless, the broad sampling obtained from the ABMD method allows to quantitatively correlate the diffusion cross-section Ω with other geometric order parameters that have simpler interpretation. The strong correlations found between the diffusion cross-section, the radius of gyration, the surface area, the volume of the convex hull suggest an optimal template for accurately mimicking the variations of Ω in a broad range of conformations, using only geometrical information, doing so at a very moderate computational cost. The existence of such a correlation is confirmed on the much larger protein a-lactalbumin.
机译:经过最近的努力[J.上午。 Soc。质谱23,386-396(2012)],我们继续探索用于生成分子构象以支持离子迁移率测量建议的碰撞截面的计算方法。在这里,自适应偏置分子动力学(ABMD)仿真用于对配置空间进行采样,以沿着回转张量的前两个矩的反应坐标实现平面直方图采样。与在较大的25个残基的肽上进行三重质子化缓激肽的复制品交换模拟相比,对该方法进行了测试。发现在宽的扩散横截面范围内产生大量构象具有更高的效率,而在确定最低能量结构时,它与常规的复制-交换分子动力学没有竞争。然而,从ABMD方法获得的广泛采样允许将扩散横截面Ω与其他具有更简单解释的几何顺序参数进行定量关联。仅在使用几何信息的情况下,在扩散横截面,回转半径,表面积,凸包的体积之间发现的强相关性建议一个最佳模板,可以精确模拟大范围构象中的Ω变化。因此以非常适中的计算成本。在更大的蛋白质α-乳白蛋白上证实了这种相关性的存在。

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