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Delivering The Benefits of Chemical-Biological Integration in Computational Toxicology at the EPA (ACS Fall meeting)
Williams, A., K. Mansouri, T. Martin, Chris Grulke, J. Wambaugh, R. Judson, G. Patlewicz, I. Shah, AND A. Richard. Delivering The Benefits of Chemical-Biological Integration in Computational Toxicology at the EPA (ACS Fall meeting). Presented at ACS Fall Meeting, Phildelphia, PA, August 21 - 25, 2016. https://doi.org/10.23645/epacomptox.5058490
Abstract: Researchers at the EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The intention of this research program is to quickly evaluate thousands of chemicals for potential risk but with much reduced cost relative to historical approaches. This work involves computational and data driven approaches including high-throughput screening, modeling, text-mining and the integration of chemistry, exposure and biological data. We have developed a number of databases and applications that are delivering on the vision of developing a deeper understanding of chemicals and their effects on exposure and biological processes that are supporting a large community of scientists in their research efforts. This presentation will provide an overview of our work to bring together diverse large scale data from the chemical and biological domains, our approaches to integrate and disseminate these data, and the delivery of models supporting computational toxicology. This abstract does not reflect U.S. EPA policy.
Presentation at ACS TOXI session on Computational Chemistry and Toxicology in Chemical Discovery and Assessement (QSARs).
URLs/Downloads:Presentation - Delivering The Benefits of Chemical-Biological Integration in Computational Toxicology at the EPA.pdf (PDF,NA pp, 2668 KB, about PDF)
WILLIAMS_ACS_FALL_ABSTRACT_4_COMPTOX_CHEM-BIO_INTEGRATION_FINAL.PDF (PDF,NA pp, 70.25 KB, about PDF)
Record Details:Record Type: DOCUMENT (PRESENTATION/SLIDE)
Organization:U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY