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MDLab: A Molecular Dynamics Simulation Prototyping Environment

delete2009-10-30
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T
Trevor Cickovski *
S
Santanu Chatterjee
J
Jacob A Wenger
C
Christopher R. Sweet
J
Jesús A. Izaguirre
DOI:10.1002/jcc.21418delete
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摘要

摘要

En 中文
Molecular dynamics (MD) simulation involves solving Newton's equations of motion for a system of atoms, by calculating forces and updating atomic positions and velocities over a timestep Delta t. Despite the large amount of computing power currently available, the timescale of MD simulations is limited by both the small timestep required for propagation, and the expensive algorithm for computing pairwise forces. These issues are currently addressed through the development of efficient simulation methods, some of which make acceptable approximations and as a result can afford larger timesteps. We present MDLab, a development environment for MD simulations built with Python which facilitates prototyping, testing, and debugging of these methods. MDLab provides constructs which allow the development of propagators, force calculators, and high level sampling protocols that run several instances of molecular dynamics. For computationally demanding sampling protocols which require testing on large biomolecules, MDL includes an interface to the OpenMM libraries of Friedrichs et al. which execute on graphical processing units (CPUs) and achieve considerable speedup over execution on the CPU. As an example of an interesting high level method developed in MDLab, we present a parallel implementation of the On-The-Fly string method of Maragliano and Vanden-Eijnden. MDLab is available at http://mdlab.source forge. net. (C) 2009 Wiley Periodicals, Inc. J Comput Chem 31: 1345-1356, 2010
Keyword:
molecular dynamics
sampling
Python
scripting
propagation
parallelism
On-The-Fly string method
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Journal of Computational Chemistry 封面图
Journal of Computational Chemistry
IF:
4.8
论文数:
7.1K
被引数:
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University of Notre Dame
学者数:
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论文数: 1.1W
被引数: 1.7W
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