OpenCafeMol: A coarse-grained biomolecular simulator on GPU with its application to vesicle fusion.

IF 3.2 3区 生物学 Q2 BIOPHYSICS
Yutaka Murata, Toru Niina, Shoji Takada
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引用次数: 0

Abstract

There has been an increasing demand for longer-timescale molecular dynamics (MD) simulations of larger biomolecular systems. To meet these demands, using the C++ API of OpenMM, we developed a fast and flexible MD software, OpenCafeMol, for residue-resolution protein and lipid models that shows high performance on graphics processing unit (GPU) machines. We validated OpenCafeMol for folding small proteins, lipid membrane dynamics, and membrane protein structures. Benchmark tests of the computation times showed that OpenCafeMol with one GPU for proteins and lipid membranes can be approximately 100 and 240 times faster than the corresponding simulations on a typical CPU machine (eight cores), respectively. Taking advantage of the high speed of OpenCafeMol, we applied it to two sets of vesicle fusion simulations; one driven by force and the other coupled with conformational dynamics of a SNARE complex. In the latter, a direct MD simulation at a high temperature resulted in vesicle docking, pore formation followed by fusion, which are coupled with local folding of linkers in the SNARE complex. This opens up new avenue to study membrane-fusion mechanisms via MD simulations. The source code for OpenCafeMol is fully available. SIGNIFICANCE Recently, there has been an increasing demand for longer-timescale biomolecular dynamics simulations. To meet the demand, coarse-graining the molecular representation and using GPU are promising approaches. Here, we developed a fast and flexible MD software, OpenCafeMol, for residue-resolution protein and lipid models that shows high performance on graphics processing unit (GPU) machines. Benchmark tests showed that OpenCafeMol with one GPU can be 2 orders of magnitude faster than the corresponding simulations on a typical CPU machine. The method was applied to vesicle fusion mediated by a SNARE complex with promising results.

OpenCafeMol:基于GPU的粗粒度生物分子模拟器及其在囊泡融合中的应用。
对大型生物分子系统的长时间分子动力学(MD)模拟的需求日益增加。为了满足这些需求,利用OpenMM的c++ API,我们开发了一个快速灵活的MD软件,OpenCafeMol,用于残余分辨率的蛋白质和脂质模型,在图形处理单元(GPU)机器上显示出高性能。我们验证了OpenCafeMol折叠小蛋白,脂质膜动力学和膜蛋白结构。计算时间的基准测试表明,使用一个GPU处理蛋白质和脂质膜的OpenCafeMol分别比在典型CPU机器(8核)上进行相应的模拟快大约100倍和240倍。利用OpenCafeMol的高速特性,将其应用于两组囊泡融合仿真;一个由力驱动,另一个与SNARE复合物的构象动力学耦合。在后者中,在高温下的直接MD模拟导致囊泡对接,孔隙形成随后融合,这与SNARE复合体中连接子的局部折叠相结合。这为通过MD模拟研究膜融合机制开辟了新的途径。openafemol的源代码是完全可用的。近年来,人们对长时间尺度生物分子动力学模拟的需求日益增加。为了满足这一需求,粗粒度分子表示和使用GPU是很有前途的方法。在这里,我们开发了一个快速灵活的MD软件,OpenCafeMol,用于残留物分辨率蛋白质和脂质模型,在图形处理单元(GPU)机器上显示高性能。基准测试表明,使用一个GPU的OpenCafeMol可以比在典型CPU机器上的相应模拟快2个数量级。将该方法应用于SNARE复合物介导的囊泡融合,结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biophysical journal
Biophysical journal 生物-生物物理
CiteScore
6.10
自引率
5.90%
发文量
3090
审稿时长
2 months
期刊介绍: BJ publishes original articles, letters, and perspectives on important problems in modern biophysics. The papers should be written so as to be of interest to a broad community of biophysicists. BJ welcomes experimental studies that employ quantitative physical approaches for the study of biological systems, including or spanning scales from molecule to whole organism. Experimental studies of a purely descriptive or phenomenological nature, with no theoretical or mechanistic underpinning, are not appropriate for publication in BJ. Theoretical studies should offer new insights into the understanding ofexperimental results or suggest new experimentally testable hypotheses. Articles reporting significant methodological or technological advances, which have potential to open new areas of biophysical investigation, are also suitable for publication in BJ. Papers describing improvements in accuracy or speed of existing methods or extra detail within methods described previously are not suitable for BJ.
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