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密度偏差采样:一种用于研究膜中孔形成的稳健计算方法。

Density-biased sampling: a robust computational method for studying pore formation in membranes.

作者信息

Mirjalili Vahid, Feig Michael

机构信息

Department of Mechanical Engineering, Michigan State University East Lansing, Michigan 48824, United States

出版信息

J Chem Theory Comput. 2015 Jan 13;11(1):343-50. doi: 10.1021/ct5009153.

Abstract

A new reaction coordinate to bias molecular dynamics simulation is described that allows enhanced sampling of density-driven processes, such as mixing and demixing two different molecular species. The methodology is validated by comparing the theoretical entropy of demixing two ideal gas species and then applied to induce deformation and pore formation in phospholipid membranes within an umbrella sampling framework. Comparison with previous biased simulations of membrane pore formation suggests overall quantitative agreement, but the density-based biasing potential results in a different, more realistic transition pathway than that in previous studies.

摘要

本文描述了一种用于偏置分子动力学模拟的新反应坐标,它能够增强对密度驱动过程的采样,例如两种不同分子物种的混合和分离。通过比较两种理想气体物种分离的理论熵来验证该方法,然后将其应用于伞形采样框架内诱导磷脂膜的变形和孔隙形成。与先前关于膜孔隙形成的偏置模拟结果相比,整体上在定量方面是一致的,但基于密度的偏置势导致了一条与先前研究不同的、更符合实际的转变途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/133c/4295813/504bf901c8f0/ct-2014-009153_0002.jpg

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