Literature DB >> 28718930

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

Chigusa Kobayashi1, Jaewoon Jung1,2, Yasuhiro Matsunaga1,3, Takaharu Mori2, Tadashi Ando4,5,6,7, Koichi Tamura1, Motoshi Kamiya1, Yuji Sugita1,2,4.   

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. © 2017 Wiley Periodicals, Inc.

Keywords:  graphics processing unit; molecular dynamics; multiple time step integration; replica exchange molecular dynamics; string method

Year:  2017        PMID: 28718930     DOI: 10.1002/jcc.24874

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


  29 in total

1.  Population Shift Mechanism for Partial Agonism of AMPA Receptor.

Authors:  Hiraku Oshima; Suyong Re; Masayoshi Sakakura; Hideo Takahashi; Yuji Sugita
Journal:  Biophys J       Date:  2018-11-29       Impact factor: 4.033

Review 2.  Molecular simulations by generalized-ensemble algorithms in isothermal-isobaric ensemble.

Authors:  Masataka Yamauchi; Yoshiharu Mori; Hisashi Okumura
Journal:  Biophys Rev       Date:  2019-05-21

3.  Molecular mechanisms for dynamic regulation of N1 riboswitch by aminoglycosides.

Authors:  Marta Kulik; Takaharu Mori; Yuji Sugita; Joanna Trylska
Journal:  Nucleic Acids Res       Date:  2018-11-02       Impact factor: 16.971

Review 4.  Whole-Cell Models and Simulations in Molecular Detail.

Authors:  Michael Feig; Yuji Sugita
Journal:  Annu Rev Cell Dev Biol       Date:  2019-07-12       Impact factor: 13.827

5.  Short disordered protein segment regulates cross-species transmission of a yeast prion.

Authors:  Yuji O Kamatari; Takao Yoda; Toshinobu Shida; Yoshiki Yamaguchi; Michael Feig; Yumiko Ohhashi; Yuji Sugita; Kazuo Kuwata; Motomasa Tanaka
Journal:  Nat Chem Biol       Date:  2020-04-13       Impact factor: 15.040

Review 6.  Multiscale molecular dynamics simulations of rotary motor proteins.

Authors:  Toru Ekimoto; Mitsunori Ikeguchi
Journal:  Biophys Rev       Date:  2017-12-04

7.  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

8.  Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning.

Authors:  Yasuhiro Matsunaga; Yuji Sugita
Journal:  Elife       Date:  2018-05-03       Impact factor: 8.140

9.  CHARMM-GUI Free Energy Calculator for Absolute and Relative Ligand Solvation and Binding Free Energy Simulations.

Authors:  Seonghoon Kim; Hiraku Oshima; Han Zhang; Nathan R Kern; Suyong Re; Jumin Lee; Benoît Roux; Yuji Sugita; Wei Jiang; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2020-10-28       Impact factor: 6.006

10.  Defining the Energetic Basis for a Conformational Switch Mediating Ligand-Independent Activation of Mutant Estrogen Receptors in Breast Cancer.

Authors:  Christopher G Mayne; Weiyi Toy; Kathryn E Carlson; Trusha Bhatt; Sean W Fanning; Geoffrey L Greene; Benita S Katzenellenbogen; Sarat Chandarlapaty; John A Katzenellenbogen; Emad Tajkhorshid
Journal:  Mol Cancer Res       Date:  2021-05-21       Impact factor: 5.852

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