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Evaluationof Enhanced Sampling Provided by AcceleratedMolecular Dynamics with Hamiltonian Replica Exchange Methods

机译:评价加速提供的增强采样哈密​​顿副本交换方法的分子动力学

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摘要

Many problems studied via molecular dynamics require accurate estimates of various thermodynamic properties, such as the free energies of different states of a system, which in turn requires well-converged sampling of the ensemble of possible structures. Enhanced sampling techniques are often applied to provide faster convergence than is possible with traditional molecular dynamics simulations. Hamiltonian replica exchange molecular dynamics (H-REMD) is a particularly attractive method, as it allows the incorporation of a variety of enhanced sampling techniques through modifications to the various Hamiltonians. In this work, we study the enhanced sampling of the RNA tetranucleotide r(GACC) provided by H-REMD combined with accelerated molecular dynamics (aMD), where a boosting potential is applied to torsions, and compare this to the enhanced sampling provided by H-REMD in which torsion potential barrier heights are scaled down to lower force constants. We show that H-REMD and multidimensional REMD (M-REMD) combined with aMD does indeed enhance sampling for r(GACC), and that the addition of thetemperature dimension in the M-REMD simulations is necessary to efficientlysample rare conformations. Interestingly, we find that the rate ofconvergence can be improved in a single H-REMD dimension by simplyincreasing the number of replicas from 8 to 24 without increasingthe maximum level of bias. The results also indicate that factorsbeyond replica spacing, such as round trip times and time spent ateach replica, must be considered in order to achieve optimal samplingefficiency.
机译:通过分子动力学研究的许多问题都需要准确估算各种热力学性质,例如系统不同状态的自由能,这又需要对可能的结构集合进行很好的收敛采样。与传统的分子动力学模拟相比,增强采样技术通常可提供更快的收敛速度。哈密​​顿副本交换分子动力学(H-REMD)是一种特别吸引人的方法,因为它允许通过对各种哈密顿方法进行修改来结合各种增强的采样技术。在这项工作中,我们研究了H-REMD提供的RNA四核苷酸r(GACC)的增强采样与加速分子动力学(aMD)的结合,其中将增强潜力应用于扭转,并将其与H提供的增强采样-REMD,其中扭转势垒高度按比例缩小以降低力常数。我们显示,H-REMD和多维REMD(M-REMD)结合aMD确实增强了r(GACC)的采样,并且增加了M-REMD模拟中的温度尺寸对于有效地进行样本稀有构象。有趣的是,我们发现通过简单地在单个H-REMD维度上可以改善收敛将副本数量从8增加到24,而无需增加最大的偏见水平。结果还表明,因素超出副本空间,例如往返时间和花费的时间为了实现最佳采样,必须考虑每个副本效率。

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