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|a 10.1002/jcc.27260
|2 doi
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|a eng
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| 100 |
1 |
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|a Yu, Isseki
|e verfasserin
|4 aut
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| 245 |
1 |
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|a SPANA
|b Spatial decomposition analysis for cellular-scale molecular dynamics simulations
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|c 2024
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|a Text
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|a Date Completed 02.02.2024
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|a Date Revised 09.02.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2023 Wiley Periodicals LLC.
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|a 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
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|a Journal Article
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|a cellular crowding
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|a molecular dynamics simulation
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|a parallel computing
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|a supercomputer
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| 650 |
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|a trajectory analysis
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|a Mori, Takaharu
|e verfasserin
|4 aut
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| 700 |
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|a Matsuoka, Daisuke
|e verfasserin
|4 aut
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| 700 |
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|a Surblys, Donatas
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|a Sugita, Yuji
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 45(2024), 8 vom: 30. März, Seite 498-505
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnas
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|g volume:45
|g year:2024
|g number:8
|g day:30
|g month:03
|g pages:498-505
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|u http://dx.doi.org/10.1002/jcc.27260
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