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Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations
Author(s) -
Pek U. Ieong,
Jesper Givskov Sørensen,
Prasantha L. Vemu,
Celia W. Wong,
Özlem Demir,
Nadya Williams,
Jianwu Wang,
Daniel Crawl,
Robert V. Swift,
Robert D. Malmstrom,
İlkay Altıntaş,
Rommie E. Amaro
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.05.159
Subject(s) - workflow , computer science , virtual screening , component (thermodynamics) , field (mathematics) , drug discovery , kepler , computer aided , cluster analysis , data science , software engineering , computational science , bioinformatics , database , artificial intelligence , stars , physics , mathematics , pure mathematics , computer vision , biology , programming language , thermodynamics
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.

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