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Computational Toxicology (S)
Citation:
COHEN-HUBAL, E. A. Computational Toxicology (S). Presented at Toxicology and Risk Assessment Conference, Cincinnati, OH, April 14 - 18, 2008.
Impact/Purpose:
The emerging field of computational toxicology applies mathematical and computer models and molecular biological and chemical approaches to explore both qualitative and quantitative relationships between sources of environmental pollutant exposure and adverse health outcomes. The intergration of modern computing with molecular biology and chemistry will allow scientists to better prioritize data, inform decision makers on chemical risk assessments, and understand a chemical's progression from the environment to the target tissue within an organism and ultimately to the key steps that trigger an adverse health effect. In this presentation we will explore a variety of current research activitites in this new field and the application of these to risk assessment. The focus will be on research being sponsored by EPA's National Center for Computational Toxicology. Projects that will be highlighted include the Distributed Structure-Searchable Toxicity (DSSTox) Database Network, the ToxCast Program for Prioritizing Toxicity Testing of Environmental Chemicals, and the Mechanistic Indicators of Childhood Asthma (MICA) Study.
Description:
The emerging field of computational toxicology applies mathematical and computer models and molecular biological and chemical approaches to explore both qualitative and quantitative relationships between sources of environmental pollutant exposure and adverse health outcomes. The intergration of modern computing with molecular biology and chemistry will allow scientists to better prioritize data, inform decision makers on chemical risk assessments, and understand a chemical's progression from the environment to the target tissue within an organism and ultimately to the key steps that trigger an adverse health effect. In this presentation we will explore a variety of current research activitites in this new field and the application of these to risk assessment. The focus will be on research being sponsored by EPA's National Center for Computational Toxicology. Projects that will be highlighted include the Distributed Structure-Searchable Toxicity (DSSTox) Database Network, the ToxCast Program for Prioritizing Toxicity Testing of Environmental Chemicals, and the Mechanistic Indicators of Childhood Asthma (MICA) Study.