Literature DB >> 23934755

Efficient lookup table using a linear function of inverse distance squared.

Jaewoon Jung1, Takaharu Mori, Yuji Sugita.   

Abstract

The major bottleneck in molecular dynamics (MD) simulations of biomolecules exist in the calculation of pairwise nonbonded interactions like Lennard-Jones and long-range electrostatic interactions. Particle-mesh Ewald (PME) method is able to evaluate long-range electrostatic interactions accurately and quickly during MD simulation. However, the evaluation of energy and gradient includes time-consuming inverse square roots and complementary error functions. To avoid such time-consuming operations while keeping accuracy, we propose a new lookup table for short-range interaction in PME by defining energy and gradient as a linear function of inverse distance squared. In our lookup table approach, densities of table points are inversely proportional to squared pair distances, enabling accurate evaluation of energy and gradient at small pair distances. Regardless of the inverse operation here, the new lookup table scheme allows fast pairwise nonbonded calculations owing to efficient usage of cache memory.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  MD; PME; lookup table

Mesh:

Year:  2013        PMID: 23934755     DOI: 10.1002/jcc.23404

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  5 in total

1.  A piecewise lookup table for calculating nonbonded pairwise atomic interactions.

Authors:  Jinping Luo; Lijun Liu; Peng Su; Pengbo Duan; Daihui Lu
Journal:  J Mol Model       Date:  2015-10-19       Impact factor: 1.810

2.  Scaling molecular dynamics beyond 100,000 processor cores for large-scale biophysical simulations.

Authors:  Jaewoon Jung; Wataru Nishima; Marcus Daniels; Gavin Bascom; Chigusa Kobayashi; Adetokunbo Adedoyin; Michael Wall; Anna Lappala; Dominic Phillips; William Fischer; Chang-Shung Tung; Tamar Schlick; Yuji Sugita; Karissa Y Sanbonmatsu
Journal:  J Comput Chem       Date:  2019-04-17       Impact factor: 3.376

3.  New parallel computing algorithm of molecular dynamics for extremely huge scale biological systems.

Authors:  Jaewoon Jung; Chigusa Kobayashi; Kento Kasahara; Cheng Tan; Akiyoshi Kuroda; Kazuo Minami; Shigeru Ishiduki; Tatsuo Nishiki; Hikaru Inoue; Yutaka Ishikawa; Michael Feig; Yuji Sugita
Journal:  J Comput Chem       Date:  2020-11-16       Impact factor: 3.376

4.  GENESIS: a hybrid-parallel and multi-scale molecular dynamics simulator with enhanced sampling algorithms for biomolecular and cellular simulations.

Authors:  Jaewoon Jung; Takaharu Mori; Chigusa Kobayashi; Yasuhiro Matsunaga; Takao Yoda; Michael Feig; Yuji Sugita
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2015-05-07

5.  myPresto/omegagene: a GPU-accelerated molecular dynamics simulator tailored for enhanced conformational sampling methods with a non-Ewald electrostatic scheme.

Authors:  Kota Kasahara; Benson Ma; Kota Goto; Bhaskar Dasgupta; Junichi Higo; Ikuo Fukuda; Tadaaki Mashimo; Yutaka Akiyama; Haruki Nakamura
Journal:  Biophys Physicobiol       Date:  2016-09-07
  5 in total

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