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GENESIS 1.1: A hybrid‐parallel molecular dynamics simulator with enhanced sampling algorithms on multiple computational platforms

Authors :
Motoshi Kamiya
Koichi Tamura
Takaharu Mori
Jaewoon Jung
Chigusa Kobayashi
Yasuhiro Matsunaga
Tadashi Ando
Yuji Sugita
Source :
Journal of Computational Chemistry. 38:2193-2206
Publication Year :
2017
Publisher :
Wiley, 2017.

Abstract

GENeralized-Ensemble SImulation System (GENESIS) is a software package for molecular dynamics (MD) simulation of biological systems. It is designed to extend limitations in system size and accessible time scale by adopting highly parallelized schemes and enhanced conformational sampling algorithms. In this new version, GENESIS 1.1, new functions and advanced algorithms have been added. The all-atom and coarse-grained potential energy functions used in AMBER and GROMACS packages now become available in addition to CHARMM energy functions. The performance of MD simulations has been greatly improved by further optimization, multiple time-step integration, and hybrid (CPU + GPU) computing. The string method and replica-exchange umbrella sampling with flexible collective variable choice are used for finding the minimum free-energy pathway and obtaining free-energy profiles for conformational changes of a macromolecule. These new features increase the usefulness and power of GENESIS for modeling and simulation in biological research. © 2017 Wiley Periodicals, Inc.

Details

ISSN :
1096987X and 01928651
Volume :
38
Database :
OpenAIRE
Journal :
Journal of Computational Chemistry
Accession number :
edsair.doi...........54793fcacb19079b8648d23934dca056