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

被引:5891
作者
Pronk, Sander [1 ,2 ]
Pall, Szilard [1 ,2 ]
Schulz, Roland [3 ,4 ]
Larsson, Per [5 ,6 ]
Bjelkmar, Par [1 ,7 ]
Apostolov, Rossen [1 ,2 ]
Shirts, Michael R. [8 ]
Smith, Jeremy C. [3 ,4 ]
Kasson, Peter M. [5 ,6 ]
van der Spoel, David [1 ,9 ]
Hess, Berk [1 ,2 ]
Lindahl, Erik [1 ,2 ,7 ]
机构
[1] Sci Life Lab, S-17121 Stockholm, Sweden
[2] KTH Royal Inst Technol, Dept Theoret Phys, S-10691 Stockholm, Sweden
[3] Oak Ridge Natl Lab, UT ORNL Ctr Mol Biophys, Oak Ridge, TN 37831 USA
[4] Univ Tennessee, Dept Biochem & Cellular & Mol Biol, Knoxville, TN USA
[5] Univ Virginia, Dept Mol Physiol & Biol Phys, Charlottesville, VA USA
[6] Univ Virginia, Dept Biomed Engn, Charlottesville, VA USA
[7] Stockholm Univ, Dept Biochem & Biophys, Ctr Biomembrane Res, S-10691 Stockholm, Sweden
[8] Univ Virginia, Dept Chem Engn, Charlottesville, VA USA
[9] Uppsala Univ, Dept Cell & Mol Biol, Uppsala, Sweden
基金
瑞典研究理事会; 欧洲研究理事会;
关键词
FORCE-FIELD; BIOMOLECULAR SIMULATION; DYNAMICS; MODEL; REFINEMENT; TRANSITION; EFFICIENT; AFFINITY; CHARMM;
D O I
10.1093/bioinformatics/btt055
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:845 / 854
页数:10
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