MBO(N)D: A multibody method for long-time molecular dynamics simulations

被引:0
|
作者
Chun, HM
Padilla, CE
Chin, DN
Watanabe, M
Karlov, VI
Alper, HE
Soosaar, K
Blair, KB
Becker, OM
Caves, LSD
Nagle, R
Haney, DN
Farmer, BL
机构
[1] Moldyn Inc, Cambridge, MA 02139 USA
[2] Tel Aviv Univ, Sch Chem, IL-69978 Tel Aviv, Israel
[3] Univ York, Prot Struct Res Grp, York YO1 5DD, N Yorkshire, England
[4] Harvard Univ, Dept Chem, Cambridge, MA 02138 USA
[5] Henry Associates Inc, La Jolla, CA 92037 USA
[6] USAF, Res Lab, Wright Patterson AFB, OH 45433 USA
关键词
molecular dynamics; normal modes; anharmonicity; macromolecules; numerical integrators;
D O I
10.1002/(SICI)1096-987X(200002)21:3<159::AID-JCC1>3.0.CO;2-J
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A modeling approach that can significantly speed up the dynamics simulation of large molecular systems is presented herein. A multigranular modeling approach, whereby different parts of the molecule are modeled at different levels of detail, is enabled by substructuring. Substructuring the molecular system is accomplished by collecting groups of atoms into rigid or flexible bodies. Body flexibility is modeled by a truncated set of body-based modes. This approach allows for the elimination of the high-frequency harmonic motion while capturing the low-frequency anharmonic motion of interest. This results in the use of larger integration step sizes, substantially reducing the computational time required for a given dynamic simulation. The method also includes the use of a multiple time scale (MTS) integration scheme. Speed increases of 5- to 30-fold over atomistic simulations have been realized in various applications of the method. (C) 2000 John Wiley & Sons, Inc.
引用
收藏
页码:159 / 184
页数:26
相关论文
共 50 条
  • [31] MODELS FOR LONG-TIME PROTEIN DYNAMICS
    PERICO, A
    GUENZA, M
    MORMINO, M
    JOURNAL OF MACROMOLECULAR SCIENCE-PURE AND APPLIED CHEMISTRY, 1994, A31 : 1009 - 1016
  • [32] Supervised parallel-in-time algorithm for long-time Lagrangian simulations of stochastic dynamics: Application to hydrodynamics
    Blumers, Ansel L.
    Li, Zhen
    Karniadakis, George Em
    JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 393 : 214 - 228
  • [33] STRUCTURE AND INTERNAL DYNAMICS OF THE BOVINE PANCREATIC TRYPSIN-INHIBITOR IN AQUEOUS-SOLUTION FROM LONG-TIME MOLECULAR-DYNAMICS SIMULATIONS
    BRUNNE, RM
    BERNDT, KD
    GUNTERT, P
    WUTHRICH, K
    VANGUNSTEREN, WF
    PROTEINS-STRUCTURE FUNCTION AND GENETICS, 1995, 23 (01): : 49 - 62
  • [34] A massively parallel algorithm for the solution of constrained equations of motion with applications to large-scale, long-time molecular dynamics simulations
    Fijany, A
    Coley, TR
    Cagin, T
    Goddard, WA
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1997, 213 : 114 - COMP
  • [35] Stochastic and Quasi-Stochastic Hamiltonians for Long-Time Nonadiabatic Molecular Dynamics
    Akimov, Alexey V.
    JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2017, 8 (20): : 5190 - 5195
  • [36] Coarse molecular dynamics of a peptide fragment: Free energy, kinetics, and long-time dynamics computations
    Hummer, G
    Kevrekidis, IG
    JOURNAL OF CHEMICAL PHYSICS, 2003, 118 (23): : 10762 - 10773
  • [37] The Finite Element Method in Time for Multibody Dynamics
    Bauchau, Olivier A.
    JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2024, 19 (07):
  • [38] Long-time dynamics of N-dimensional structure equations with thermal memory
    Danxia Wang
    Jianwen Zhang
    Boundary Value Problems, 2017
  • [39] THE FINITE ELEMENT METHOD IN TIME FOR MULTIBODY DYNAMICS
    Bauchau, Olivier A.
    PROCEEDINGS OF ASME 2023 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2023, VOL 10, 2023,
  • [40] Long-time dynamics of N-dimensional structure equations with thermal memory
    Wang, Danxia
    Zhang, Jianwen
    BOUNDARY VALUE PROBLEMS, 2017,