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MemSurfer: A Tool for Robust Computation and Characterization of Curved Membranes

机译:Memsurefer:一种用于稳健计算和弯曲膜征的工具

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Advances in simulation methodologies, code efficiency, and computing power have enabled larger, longer, and more-complicated biological membrane simulations. The resulting membranes can be highly complex and have curved geometries that greatly deviate from a simple planar state. Studying these membranes requires appropriate characterization of geometric and topological properties of the membrane surface before any local lipid properties, such as areas and curvatures, can be computed. We present MemSurfer, an efficient and versatile tool to robustly compute membrane surfaces for a wide variety of large-scale molecular simulations. MemSurfer works independent of the type of simulation and directly on 3D point coordinates. As a result, MemSurfer can handle a variety of membranes. Using Delaunay triangulations and surface parameterizations, MemSurfer not only computes common lipid properties of interest but also provides direct access to the membrane surface itself, allowing the user to potentially conceive and compute a variety of nonstandard properties. The software provides a simple-to-use Python API and is released open-source under a GPL3 license.
机译:仿真方法的进步,代码效率和计算能力使得能够更大,更长,更复杂的生物膜模拟。所得到的膜可以是高度复杂的并且具有极大地偏离简单的平面状态的弯曲几何形状。研究这些膜需要在任何局部脂质特性(例如区域和曲率)之前,需要适当表征膜表面的几何和拓扑性质,例如区域和曲率。我们呈现Memsurefer,一种高效和多功能的工具,以鲁棒地计算膜表面,以获得各种大规模的分子模拟。 Memsurefer独立于模拟类型,直接在3D点坐标上。结果,Memsurefer可以处理各种膜。使用Delaunay三角形和表面参数化,Memsurefer不仅可以计算利益的常见性脂质特性,而且还提供对膜表面本身的直接进入,允许用户潜在地构思和计算各种非标准的性质。该软件提供了一个简单使用的Python API,并在GPL3许可证下发布开源。

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