SPANA: Spatial decomposition analysis for cellular‐scale molecular dynamics simulations

Author:

Yu Isseki12,Mori Takaharu1,Matsuoka Daisuke1,Surblys Donatas1,Sugita Yuji134ORCID

Affiliation:

1. Theoretical Molecular Science Laboratory, RIKEN Cluster for Pioneering Research Wako Saitama Japan

2. Department of Bioinformatics Maebashi Institute of Technology Maebashi Gunma Japan

3. Laboratory for Biomolecular Function Simulation RIKEN Center for Biosystems Dynamics Research Kobe Hyogo Japan

4. Computational Biophysics Research Team, RIKEN Center for Computational Science Kobe Hyogo Japan

Abstract

AbstractThe 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.

Funder

Ministry of Education, Culture, Sports, Science and Technology

RIKEN

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

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