Literature DB >> 29399238

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

Pek U Ieong1,2, Jesper Sørensen1, Prasantha L Vemu1, Celia W Wong1, Özlem Demir1, Nadya P Williams3,2, Jianwu Wang3, Daniel Crawl3,2, Robert V Swift1, Robert D Malmstrom1,2, Ilkay Altintas3,2, Rommie E Amaro1,2.   

Abstract

We describe the development of automated workflows that support computed-aided drug discovery (CADD) and molecular dynamics (MD) simulations and are included as part of the National Biomedical Computational Resource (NBCR). The main workflow components include: file-management tasks, ligand force field parameterization, receptor-ligand molecular dynamics (MD) simulations, job submission and monitoring on relevant high-performance computing (HPC) resources, receptor structural clustering, virtual screening (VS), and statistical analyses of the VS results. The workflows aim to standardize simulation and analysis and promote best practices within the molecular simulation and CADD communities. Each component is developed as a stand-alone workflow, which allows easy integration into larger frameworks built to suit user needs, while remaining intuitive and easy to extend.

Entities:  

Keywords:  Scientific workflows; big data reduction; ligand parameterization; molecular simulation; relaxed complex scheme; small molecule docking; structural clustering; web services

Year:  2014        PMID: 29399238      PMCID: PMC5796787          DOI: 10.1016/j.procs.2014.05.159

Source DB:  PubMed          Journal:  Procedia Comput Sci


  20 in total

1.  Protocols for bridging the peptide to nonpeptide gap in topological similarity searches.

Authors:  R P Sheridan; S B Singh; E M Fluder; S K Kearsley
Journal:  J Chem Inf Comput Sci       Date:  2001 Sep-Oct

2.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

3.  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

4.  Automatic atom type and bond type perception in molecular mechanical calculations.

Authors:  Junmei Wang; Wei Wang; Peter A Kollman; David A Case
Journal:  J Mol Graph Model       Date:  2006-02-03       Impact factor: 2.518

5.  Bias, reporting, and sharing: computational evaluations of docking methods.

Authors:  Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2007-12-13       Impact factor: 3.686

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

Authors:  Sander Pronk; 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
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

7.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
Journal:  J Comput Chem       Date:  2009-12       Impact factor: 3.376

8.  MultiSeq: unifying sequence and structure data for evolutionary analysis.

Authors:  Elijah Roberts; John Eargle; Dan Wright; Zaida Luthey-Schulten
Journal:  BMC Bioinformatics       Date:  2006-08-16       Impact factor: 3.169

9.  A statistical framework to evaluate virtual screening.

Authors:  Wei Zhao; Kirk E Hevener; Stephen W White; Richard E Lee; James M Boyett
Journal:  BMC Bioinformatics       Date:  2009-07-20       Impact factor: 3.169

Review 10.  Emerging methods for ensemble-based virtual screening.

Authors:  Rommie E Amaro; Wilfred W Li
Journal:  Curr Top Med Chem       Date:  2010       Impact factor: 3.295

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  4 in total

1.  Multiscale Methods in Drug Design Bridge Chemical and Biological Complexity in the Search for Cures.

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

Review 2.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

Review 3.  Improving data workflow systems with cloud services and use of open data for bioinformatics research.

Authors:  Md Rezaul Karim; Audrey Michel; Achille Zappa; Pavel Baranov; Ratnesh Sahay; Dietrich Rebholz-Schuhmann
Journal:  Brief Bioinform       Date:  2018-09-28       Impact factor: 11.622

Review 4.  Sea Spray Aerosol: Where Marine Biology Meets Atmospheric Chemistry.

Authors:  Jamie M Schiffer; Liora E Mael; Kimberly A Prather; Rommie E Amaro; Vicki H Grassian
Journal:  ACS Cent Sci       Date:  2018-12-14       Impact factor: 14.553

  4 in total

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