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Facilitating Drug Discovery: An Automated High-content Inflammation Assay in Zebrafish
Published on: July 16, 2012
Progress towards automated Kepler scientific workflows for computer-aided drug discovery and molecular simulations
Pek U Ieong1,2, Jesper Sørensen1, Prasantha L Vemu1
1Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, MC 0340, La Jolla, CA 92093, USA.
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.
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