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CLU-IN Studio
United States Environmental Protection Agency
Computational Toxicology: Chemical Prioritization / Rapid Assay Techniques
Sponsored by: National Institutes of Health, National Institute of Environmental Health Sciences, Superfund Basic Research Program
Original Time/Date of Presentation:

July 7, 2009, 1:30 PM - 3:30 PM, EDT (17:30-19:30 GMT)

Presentation Overview:

The Superfund Basic Research Program (SBRP), in collaboration with the US Environmental Protection Agency's Office of Superfund Remediation and Technology Innovation (OSRTI), presents the Spring/Summer 2009 edition of Risk eLearning: "Computational Toxicology: New Approaches for the 21st Century." This series of online seminars will provide an introduction to the key concepts of computational toxicology along with case studies demonstrating the utility of these approaches (e.g. high throughput screening, computer modeling, informatics) to risk assessment.

The National Research Council's Toxicology in the 21st Century report is advocating for greater acceptance of the pathway-based toxicity testing conducted mostly in in vitro systems. Recent advances in science and technology do provide unique opportunities to probe normal physiology and disease biology to an unprecedented depth. Ivan Rusyn, Ph.D., Associate Professor, Department of Environmental Sciences & Engineering, University of North Carolina at Chapel Hill, will highlight the tools and techniques that enable pathway-based toxicity testing and considers the challenges and opportunities that new science brings to the practice of toxicology.

For the second presentation Richard Judson, Ph.D., Bioinformatician, National Center for Computational Toxicology, U.S. EPA, will give an overview of ACToR. ACToR (Aggregated Computational Toxicology Resource) is a collection of databases collated or developed by the US EPA National Center for Computational Toxicology (NCCT). More than 200 sources of publicly available data on environmental chemicals have been brought together and made searchable by chemical name and other identifiers, and by chemical structure. Data includes chemical structure, physico-chemical values, in vitro assay data and in vivo toxicology data. Chemicals include, but are not limited to, high and medium production volume industrial chemicals, pesticides (active and inert ingredients), and potential ground and drinking water contaminants.

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