arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0908.3773cond-mat.stat-mechcond-mat.soft
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构造和采样复杂构象空间:加权系综动力学模拟

Structuring and sampling complex conformation space: Weighted ensemble dynamics simulations

Linchen Gong, Xin Zhou

摘要:

基于多个模拟轨迹,从分散选择的初始构象出发,设计加权系综动力学方法,通过对随机映射向量的方差-协方差矩阵的谱分析,稳健而系统地探索复杂构象空间的层次结构.矩阵的非简并基态直接预示了模拟数据的遍历性。基态可以作为轨迹的统计权重,以正确地重建平衡性质,即使每个轨迹只探索构象空间的一部分。否则,退化度只是给出了在个体轨迹时间尺度下系统的亚稳态数目。对特征向量的操纵导致将轨迹分类为状态内的非过渡轨迹和状态之间的过渡轨迹。过渡态也可以在没有系统的先验知识的情况下预测。我们演示了应用程序的一般方法都与一维玻璃态电位系统和一个明确的溶剂中的丙氨酸二肽。

英文摘要:

Based on multiple simulation trajectories, which started from dispersively selected initial conformations, the weighted ensemble dynamics method is designed to robustly and systematically explore the hierarchical structure of complex conformational space through the spectral analysis of the variance-covariance matrix of trajectory-mapped vectors. Non-degenerate ground state of the matrix directly predicts the ergodicity of simulation data. The ground state could be adopted as statistical weights of trajectories to correctly reconstruct the equilibrium properties, even though each trajectory only explores part of the conformational space. Otherwise, the degree of degeneracy simply gives the number of meta-stable states of the system under the time scale of individual trajectory. Manipulation on the eigenvectors leads to the classification of trajectories into non-transition ones within the states and transition ones between them. The transition states may also be predicted without a priori knowledge of the system. We demonstrate the application of the general method both to the system with a one-dimensional glassy potential and with the one of alanine dipeptide in explicit solvent.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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