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A High-Throughput Steered Molecular Dynamics Study on the Free Energy Profile of Ion Permeation through Gramicidin A

机译:高通量操纵的分子动力学研究,通过根瘤菌素A离子渗透的自由能谱

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Steered molecular dynamics (SMD) simulations for the calculation of free energies are weli suited for high-throughput molecular simulations on a distributed infrastructure due to the simplicity of the setup and parallel granularity of the runs. However, so far, the computational cost limited the estimation of the free energy typically over just a few pullings, thus impeding the evaluation of statistical uncertainties involved. In this work, we performed two thousand pulls for the permeation of a potassium ion in the gramicidin A pore by all-atom molecular dynamics in order to assess the bidirectional SMD protocol with a proper amount of sampling. The estimated free energy profile still shows a statistical error of several kcal/mol, while the work distributions are estimated to be non-Gaussian at pulling speeds of 10 As. We discuss the methodology and the confidence intervals in relation to increasing amounts of computed trajectories and how different permeation pathways for the potassium ion, knock-on and sideways, affect the sampling and the free energy estimation.
机译:由于设置的简单性和运行的并行粒度,用于自由能计算的转向分子动力学(SMD)模拟非常适合分布式基础设施上的高通量分子模拟。但是,到目前为止,计算成本通常仅在几次拉拔过程中就限制了对自由能的估计,从而阻碍了对所涉及的统计不确定性的评估。在这项工作中,我们通过全原子分子动力学进行了两千次抽动,以检测短杆菌肽A孔中钾离子的渗透情况,以评估双向SMD方案并进行适当的采样。估计的自由能分布仍显示出数kcal / mol的统计误差,而在10 A / ns的拉动速度下,功分布估计为非高斯分布。我们讨论了与越来越多的计算轨迹有关的方法论和置信区间,以及钾离子的不同渗透途径(敲除和侧向)如何影响采样和自由能估计。

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