Literature DB >> 26631792

Scaling of Multimillion-Atom Biological Molecular Dynamics Simulation on a Petascale Supercomputer.

Roland Schulz1, Benjamin Lindner1, Loukas Petridis1, Jeremy C Smith1.   

Abstract

A strategy is described for a fast all-atom molecular dynamics simulation of multimillion-atom biological systems on massively parallel supercomputers. The strategy is developed using benchmark systems of particular interest to bioenergy research, comprising models of cellulose and lignocellulosic biomass in an aqueous solution. The approach involves using the reaction field (RF) method for the computation of long-range electrostatic interactions, which permits efficient scaling on many thousands of cores. Although the range of applicability of the RF method for biomolecular systems remains to be demonstrated, for the benchmark systems the use of the RF produces molecular dipole moments, Kirkwood G factors, other structural properties, and mean-square fluctuations in excellent agreement with those obtained with the commonly used Particle Mesh Ewald method. With RF, three million- and five million-atom biological systems scale well up to ∼30k cores, producing ∼30 ns/day. Atomistic simulations of very large systems for time scales approaching the microsecond would, therefore, appear now to be within reach.

Entities:  

Year:  2009        PMID: 26631792     DOI: 10.1021/ct900292r

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  19 in total

1.  Multiscale simulation of microbe structure and dynamics.

Authors:  Harshad Joshi; Abhishek Singharoy; Yuriy V Sereda; Srinath C Cheluvaraja; Peter J Ortoleva
Journal:  Prog Biophys Mol Biol       Date:  2011-07-23       Impact factor: 3.667

2.  Trajectory NG: portable, compressed, general molecular dynamics trajectories.

Authors:  Daniel Spångberg; Daniel S D Larsson; David van der Spoel
Journal:  J Mol Model       Date:  2011-01-26       Impact factor: 1.810

Review 3.  Enhanced sampling techniques in molecular dynamics simulations of biological systems.

Authors:  Rafael C Bernardi; Marcelo C R Melo; Klaus Schulten
Journal:  Biochim Biophys Acta       Date:  2014-10-23

4.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Authors:  Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

5.  Long-ranged contributions to solvation free energies from theory and short-ranged models.

Authors:  Richard C Remsing; Shule Liu; John D Weeks
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-29       Impact factor: 11.205

6.  Multiscale macromolecular simulation: role of evolving ensembles.

Authors:  A Singharoy; H Joshi; P J Ortoleva
Journal:  J Chem Inf Model       Date:  2012-09-28       Impact factor: 4.956

7.  Parallel Generalized Born Implicit Solvent Calculations with NAMD.

Authors:  David E Tanner; Kwok-Yan Chan; James C Phillips; Klaus Schulten
Journal:  J Chem Theory Comput       Date:  2011-11-08       Impact factor: 6.006

8.  Effect of atom- and group-based truncations on biomolecules simulated with reaction-field electrostatics.

Authors:  Boris Ni; Andrij Baumketner
Journal:  J Mol Model       Date:  2011-02-11       Impact factor: 1.810

9.  Hierarchical Multiscale Modeling of Macromolecules and their Assemblies.

Authors:  P Ortoleva; A Singharoy; S Pankavich
Journal:  Soft Matter       Date:  2013-04-28       Impact factor: 3.679

10.  GPU/CPU Algorithm for Generalized Born/Solvent-Accessible Surface Area Implicit Solvent Calculations.

Authors:  David E Tanner; James C Phillips; Klaus Schulten
Journal:  J Chem Theory Comput       Date:  2012-06-15       Impact factor: 6.006

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