Literature DB >> 23407358

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

Sander Pronk1, 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.   

Abstract

MOTIVATION: Molecular simulation has historically been a low-throughput technique, but faster computers and increasing amounts of genomic and structural data are changing this by enabling large-scale automated simulation of, for instance, many conformers or mutants of biomolecules with or without a range of ligands. At the same time, advances in performance and scaling now make it possible to model complex biomolecular interaction and function in a manner directly testable by experiment. These applications share a need for fast and efficient software that can be deployed on massive scale in clusters, web servers, distributed computing or cloud resources.
RESULTS: Here, we present a range of new simulation algorithms and features developed during the past 4 years, leading up to the GROMACS 4.5 software package. The software now automatically handles wide classes of biomolecules, such as proteins, nucleic acids and lipids, and comes with all commonly used force fields for these molecules built-in. GROMACS supports several implicit solvent models, as well as new free-energy algorithms, and the software now uses multithreading for efficient parallelization even on low-end systems, including windows-based workstations. Together with hand-tuned assembly kernels and state-of-the-art parallelization, this provides extremely high performance and cost efficiency for high-throughput as well as massively parallel simulations. AVAILABILITY: GROMACS is an open source and free software available from http://www.gromacs.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2013        PMID: 23407358      PMCID: PMC3605599          DOI: 10.1093/bioinformatics/btt055

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  35 in total

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Authors:  Kresten Lindorff-Larsen; Stefano Piana; Ron O Dror; David E Shaw
Journal:  Science       Date:  2011-10-28       Impact factor: 47.728

3.  One-microsecond molecular dynamics simulation of channel gating in a nicotinic receptor homologue.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-22       Impact factor: 11.205

4.  Atomistic folding simulations of the five-helix bundle protein λ(6−85).

Authors:  Gregory R Bowman; Vincent A Voelz; Vijay S Pande
Journal:  J Am Chem Soc       Date:  2011-02-02       Impact factor: 15.419

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

Authors:  Roland Schulz; Benjamin Lindner; Loukas Petridis; Jeremy C Smith
Journal:  J Chem Theory Comput       Date:  2009-10-13       Impact factor: 6.006

6.  The GROMOS software for biomolecular simulation: GROMOS05.

Authors:  Markus Christen; Philippe H Hünenberger; Dirk Bakowies; Riccardo Baron; Roland Bürgi; Daan P Geerke; Tim N Heinz; Mika A Kastenholz; Vincent Kräutler; Chris Oostenbrink; Christine Peter; Daniel Trzesniak; Wilfred F van Gunsteren
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

7.  Protein folding kinetics and thermodynamics from atomistic simulations.

Authors:  David van der Spoel; M Marvin Seibert
Journal:  Phys Rev Lett       Date:  2006-06-15       Impact factor: 9.161

Review 8.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

Review 9.  Everything you wanted to know about Markov State Models but were afraid to ask.

Authors:  Vijay S Pande; Kyle Beauchamp; Gregory R Bowman
Journal:  Methods       Date:  2010-06-04       Impact factor: 3.608

10.  The Origin of Layer Structure Artifacts in Simulations of Liquid Water.

Authors:  David van der Spoel; Paul J van Maaren
Journal:  J Chem Theory Comput       Date:  2006-01       Impact factor: 6.006

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Authors:  A A Mian; A Rafiei; I Haberbosch; A Zeifman; I Titov; V Stroylov; A Metodieva; O Stroganov; F Novikov; B Brill; G Chilov; D Hoelzer; O G Ottmann; M Ruthardt
Journal:  Leukemia       Date:  2014-11-14       Impact factor: 11.528

3.  Electron transfer pathways in a multiheme cytochrome MtrF.

Authors:  Hiroshi C Watanabe; Yuki Yamashita; Hiroshi Ishikita
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-06       Impact factor: 11.205

4.  Intrinsically Disordered Regions of the DNA-Binding Domain of Human FoxP1 Facilitate Domain Swapping.

Authors:  Exequiel Medina; Pablo Villalobos; George L Hamilton; Elizabeth A Komives; Hugo Sanabria; César A Ramírez-Sarmiento; Jorge Babul
Journal:  J Mol Biol       Date:  2020-07-28       Impact factor: 5.469

5.  Human GLP-1 receptor transmembrane domain structure in complex with allosteric modulators.

Authors:  Gaojie Song; Dehua Yang; Yuxia Wang; Chris de Graaf; Qingtong Zhou; Shanshan Jiang; Kaiwen Liu; Xiaoqing Cai; Antao Dai; Guangyao Lin; Dongsheng Liu; Fan Wu; Yiran Wu; Suwen Zhao; Li Ye; Gye Won Han; Jesper Lau; Beili Wu; Michael A Hanson; Zhi-Jie Liu; Ming-Wei Wang; Raymond C Stevens
Journal:  Nature       Date:  2017-05-17       Impact factor: 49.962

6.  The dynamics of peptide-water interactions in dialanine: An ultrafast amide I 2D IR and computational spectroscopy study.

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7.  Progress towards automated Kepler scientific workflows for computer-aided drug discovery and molecular simulations.

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Journal:  Procedia Comput Sci       Date:  2014

8.  Elongation Factor Tu Switch I Element is a Gate for Aminoacyl-tRNA Selection.

Authors:  Dylan Girodat; Scott C Blanchard; Hans-Joachim Wieden; Karissa Y Sanbonmatsu
Journal:  J Mol Biol       Date:  2020-02-13       Impact factor: 5.469

9.  Biallelic Mutations in TBCD, Encoding the Tubulin Folding Cofactor D, Perturb Microtubule Dynamics and Cause Early-Onset Encephalopathy.

Authors:  Elisabetta Flex; Marcello Niceta; Serena Cecchetti; Isabelle Thiffault; Margaret G Au; Alessandro Capuano; Emanuela Piermarini; Anna A Ivanova; Joshua W Francis; Giovanni Chillemi; Balasubramanian Chandramouli; Giovanna Carpentieri; Charlotte A Haaxma; Andrea Ciolfi; Simone Pizzi; Ganka V Douglas; Kara Levine; Antonella Sferra; Maria Lisa Dentici; Rolph R Pfundt; Jean-Baptiste Le Pichon; Emily Farrow; Frank Baas; Fiorella Piemonte; Bruno Dallapiccola; John M Graham; Carol J Saunders; Enrico Bertini; Richard A Kahn; David A Koolen; Marco Tartaglia
Journal:  Am J Hum Genet       Date:  2016-09-22       Impact factor: 11.025

10.  In silico structural characterization of protein targets for drug development against Trypanosoma cruzi.

Authors:  Carlyle Ribeiro Lima; Nicolas Carels; Ana Carolina Ramos Guimaraes; Pierre Tufféry; Philippe Derreumaux
Journal:  J Mol Model       Date:  2016-09-24       Impact factor: 1.810

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