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Tsallis统计抽样中增强构象搜索的动力学起源。

Dynamical origin of enhanced conformational searches of Tsallis statistics sampling.

作者信息

Kim Jae Gil, Fukunishi Yoshifumi, Nakamura Haruki

机构信息

Japan Biological Information Research Center (JBIRC), Japan Biological Informatics Consortium, Aomi 2-41-6, Koto-ku, Tokyo 135-0064, Japan.

出版信息

J Chem Phys. 2004 Jul 15;121(3):1626-35. doi: 10.1063/1.1763841.

Abstract

The characteristic sampling dynamics of importance samplings driven by the Tsallis weight [C. Tsallis, J. Stat. Phys. 52, 479 (1988)] has been analyzed in terms of recently developed Langevin stochastic model by considering the effects of the density of states and the potential smoothing of the Tsallis transformation. Our study reveals that the fixed points, which are determined by the crossing points of the statistical temperature and the Tsallis effective temperature, play a critical role in overall dynamics of the Tsallis statistics sampling. The dynamical origin of enhanced conformational searches of the Tsallis weight has been investigated by unveiling the intimate relationship between the sampling dynamics and the stability change of corresponding fixed points. Based on this stochastic analysis, we propose one effective method to realize a broad energy distribution in the Tsallis statistics sampling by determining optimal Tsallis parameters systematically based on preliminary canonical samplings. The effectiveness of our method has been validated in the folding simulation of Met-Enkephalin and liquid-solid transition simulation of Lennard-Jones cluster systems.

摘要

通过考虑态密度和Tsallis变换的势平滑效应,利用最近发展的朗之万随机模型分析了由Tsallis权重驱动的重要性抽样的特征抽样动力学[C. Tsallis, J. Stat. Phys. 52, 479 (1988)]。我们的研究表明,由统计温度和Tsallis有效温度的交点确定的不动点在Tsallis统计抽样的整体动力学中起着关键作用。通过揭示抽样动力学与相应不动点稳定性变化之间的密切关系,研究了Tsallis权重增强构象搜索的动力学起源。基于这种随机分析,我们提出了一种有效的方法,通过基于初步的正则抽样系统地确定最优Tsallis参数,在Tsallis统计抽样中实现广泛的能量分布。我们的方法在甲硫氨酸脑啡肽的折叠模拟和 Lennard-Jones 簇系统的液-固转变模拟中得到了验证。

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