Literature DB >> 28636905

A Kepler Workflow Tool for Reproducible AMBER GPU Molecular Dynamics.

Shweta Purawat1, Pek U Ieong2, Robert D Malmstrom2, Garrett J Chan2, Alan K Yeung3, Ross C Walker4, Ilkay Altintas1, Rommie E Amaro5.   

Abstract

With the drive toward high throughput molecular dynamics (MD) simulations involving ever-greater numbers of simulation replicates run for longer, biologically relevant timescales (microseconds), the need for improved computational methods that facilitate fully automated MD workflows gains more importance. Here we report the development of an automated workflow tool to perform AMBER GPU MD simulations. Our workflow tool capitalizes on the capabilities of the Kepler platform to deliver a flexible, intuitive, and user-friendly environment and the AMBER GPU code for a robust and high-performance simulation engine. Additionally, the workflow tool reduces user input time by automating repetitive processes and facilitates access to GPU clusters, whose high-performance processing power makes simulations of large numerical scale possible. The presented workflow tool facilitates the management and deployment of large sets of MD simulations on heterogeneous computing resources. The workflow tool also performs systematic analysis on the simulation outputs and enhances simulation reproducibility, execution scalability, and MD method development including benchmarking and validation.
Copyright © 2017 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28636905      PMCID: PMC5479118          DOI: 10.1016/j.bpj.2017.04.055

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  21 in total

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2.  Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 2. Explicit Solvent Particle Mesh Ewald.

Authors:  Romelia Salomon-Ferrer; Andreas W Götz; Duncan Poole; Scott Le Grand; Ross C Walker
Journal:  J Chem Theory Comput       Date:  2013-08-20       Impact factor: 6.006

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

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Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

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Journal:  J Biomol Struct Dyn       Date:  2014-11-06

5.  HTMD: High-Throughput Molecular Dynamics for Molecular Discovery.

Authors:  S Doerr; M J Harvey; Frank Noé; G De Fabritiis
Journal:  J Chem Theory Comput       Date:  2016-03-16       Impact factor: 6.006

Review 6.  CHARMM-GUI 10 years for biomolecular modeling and simulation.

Authors:  Sunhwan Jo; Xi Cheng; Jumin Lee; Seonghoon Kim; Sang-Jun Park; Dhilon S Patel; Andrew H Beaven; Kyu Il Lee; Huan Rui; Soohyung Park; Hui Sun Lee; Benoît Roux; Alexander D MacKerell; Jeffrey B Klauda; Yifei Qi; Wonpil Im
Journal:  J Comput Chem       Date:  2016-11-14       Impact factor: 3.376

7.  OpenMM 4: A Reusable, Extensible, Hardware Independent Library for High Performance Molecular Simulation.

Authors:  Peter Eastman; Mark S Friedrichs; John D Chodera; Randall J Radmer; Christopher M Bruns; Joy P Ku; Kyle A Beauchamp; Thomas J Lane; Lee-Ping Wang; Diwakar Shukla; Tony Tye; Mike Houston; Timo Stich; Christoph Klein; Michael R Shirts; Vijay S Pande
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Review 8.  Cytoplasmic functions of the tumour suppressor p53.

Authors:  Douglas R Green; Guido Kroemer
Journal:  Nature       Date:  2009-04-30       Impact factor: 49.962

9.  Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born.

Authors:  Andreas W Götz; Mark J Williamson; Dong Xu; Duncan Poole; Scott Le Grand; Ross C Walker
Journal:  J Chem Theory Comput       Date:  2012-03-26       Impact factor: 6.006

10.  Computational identification of a transiently open L1/S3 pocket for reactivation of mutant p53.

Authors:  Christopher D Wassman; Roberta Baronio; Özlem Demir; Brad D Wallentine; Chiung-Kuang Chen; Linda V Hall; Faezeh Salehi; Da-Wei Lin; Benjamin P Chung; G Wesley Hatfield; A Richard Chamberlin; Hartmut Luecke; Richard H Lathrop; Peter Kaiser; Rommie E Amaro
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

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  7 in total

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Authors:  Rommie E Amaro; Adrian J Mulholland
Journal:  Nat Rev Chem       Date:  2018-04-11       Impact factor: 34.035

2.  Improving the Efficiency of Ligand-Binding Protein Design with Molecular Dynamics Simulations.

Authors:  Emilia P Barros; Jamie M Schiffer; Anastassia Vorobieva; Jiayi Dou; David Baker; Rommie E Amaro
Journal:  J Chem Theory Comput       Date:  2019-09-10       Impact factor: 6.006

3.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

4.  Continuous Evaluation of Ligand Protein Predictions: A Weekly Community Challenge for Drug Docking.

Authors:  Jeffrey R Wagner; Christopher P Churas; Shuai Liu; Robert V Swift; Michael Chiu; Chenghua Shao; Victoria A Feher; Stephen K Burley; Michael K Gilson; Rommie E Amaro
Journal:  Structure       Date:  2019-06-27       Impact factor: 5.006

5.  CAN: A new program to streamline preparation of molecular coordinate files for molecular dynamics simulations.

Authors:  Jacob A Parkman; Caleb A Barksdale; David J Michaelis
Journal:  J Comput Chem       Date:  2021-08-19       Impact factor: 3.376

Review 6.  Ensemble Docking in Drug Discovery.

Authors:  Rommie E Amaro; Jerome Baudry; John Chodera; Özlem Demir; J Andrew McCammon; Yinglong Miao; Jeremy C Smith
Journal:  Biophys J       Date:  2018-03-30       Impact factor: 4.033

7.  Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.

Authors:  Miłosz Wieczór; Vito Genna; Juan Aranda; Rosa M Badia; Josep Lluís Gelpí; Vytautas Gapsys; Bert L de Groot; Erik Lindahl; Martí Municoy; Adam Hospital; Modesto Orozco
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2022-05-30
  7 in total

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