Theoretical Molecular Science Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, Japan.
Department of Bioinformatics, Maebashi Institute of Technology, Maebashi, Gunma, Japan.
J Comput Chem. 2024 Mar 30;45(8):498-505. doi: 10.1002/jcc.27260. Epub 2023 Nov 15.
The rapid increase in computational power with the latest supercomputers has enabled atomistic molecular dynamics (MDs) simulations of biomolecules in biological membrane, cytoplasm, and other cellular environments. These environments often contain a million or more atoms to be simulated simultaneously. Therefore, their trajectory analyses involve heavy computations that can become a bottleneck in the computational studies. Spatial decomposition analysis (SPANA) is a set of analysis tools in the Generalized-Ensemble Simulation System (GENESIS) software package that can carry out MD trajectory analyses of large-scale biological simulations using multiple CPU cores in parallel. SPANA applies the spatial decomposition of a large biological system to distribute structural and dynamical analyses into individual CPU cores, which reduces the computational time and the memory size, significantly. SPANA opens new possibilities for detailed atomistic analyses of biomacromolecules as well as solvent water molecules, ions, and metabolites in MD simulation trajectories of very large biological systems containing more than millions of atoms in cellular environments.
随着最新超级计算机计算能力的迅速提高,已经可以对生物膜、细胞质和其他细胞环境中的生物分子进行原子分子动力学(MDs)模拟。这些环境通常包含一百万个或更多的原子同时进行模拟。因此,它们的轨迹分析涉及大量的计算,这可能成为计算研究的瓶颈。空间分解分析(SPANA)是通用集合模拟系统(GENESIS)软件包中的一组分析工具,可使用多个 CPU 内核并行对大规模生物模拟的 MD 轨迹进行分析。SPANA 将大型生物系统的空间分解应用于将结构和动力学分析分配到各个 CPU 内核,从而显著减少计算时间和内存大小。SPANA 为详细的原子分析生物大分子以及溶剂水分子、离子和代谢物打开了新的可能性,可用于含有数百万个以上原子的细胞环境中的非常大的生物系统的 MD 模拟轨迹中。