Smith Paul, Lorenz Christian D
Department of Physics, King's College London, London WC2R 2LS, U.K.
J Chem Theory Comput. 2021 Sep 14;17(9):5907-5919. doi: 10.1021/acs.jctc.1c00447. Epub 2021 Aug 27.
Molecular dynamics simulations are now widely used to study emergent phenomena in lipid membranes with complex compositions. Here, we present LiPyphilic-a fast, fully tested, and easy-to-install Python package for analyzing such simulations. Analysis tools in LiPyphilic include the identification of cholesterol flip-flop events, the classification of local lipid environments, and the degree of interleaflet registration. LiPyphilic is both force field- and resolution-agnostic, and by using the powerful atom selection language of MDAnalysis, it can handle membranes with highly complex compositions. LiPyphilic also offers two on-the-fly trajectory transformations to (i) fix membranes split across periodic boundaries and (ii) perform nojump coordinate unwrapping. Our implementation of nojump unwrapping accounts for fluctuations in the box volume under the ensemble-an issue that most current implementations have overlooked. The full documentation of LiPyphilic, including installation instructions and links to interactive online tutorials, is available at https://lipyphilic.readthedocs.io/en/latest.
分子动力学模拟现在被广泛用于研究具有复杂组成的脂质膜中的涌现现象。在此,我们展示LiPyphilic——一个快速、经过全面测试且易于安装的用于分析此类模拟的Python软件包。LiPyphilic中的分析工具包括胆固醇翻转事件的识别、局部脂质环境的分类以及叶间配准程度。LiPyphilic与力场和分辨率无关,并且通过使用MDAnalysis强大的原子选择语言,它可以处理具有高度复杂组成的膜。LiPyphilic还提供两种实时轨迹变换,以(i)修复跨越周期性边界分裂的膜,以及(ii)执行无跳跃坐标展开。我们的无跳跃展开实现考虑了系综下盒子体积的波动——这是大多数当前实现所忽略的问题。LiPyphilic的完整文档,包括安装说明和交互式在线教程的链接,可在https://lipyphilic.readthedocs.io/en/latest获取。