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 integration 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 paper, several of the major research activities being sponsored by Environmental Protection Agency's National Center for Computational Toxicology are highlighted. Potential links between research in computational toxicology and human exposure science are identified. As with the traditional approaches for toxicity testing and hazard assessment, exposure science is required to inform design and interpretation of high-throughput assays. In addition, common themes inherent throughout National Center for Computational Toxicology research activities are highlighted for emphasis as exposure science advances into the 21st century.
Exposure science and the U.S. EPA National Center for Computational Toxicology
Cohen Hubal, E. A., Richard, A. M., Shah, I., Gallagher, J., Kavlock, R., Blancato, J., & Edwards, S. W. (2010). Exposure science and the U.S. EPA National Center for Computational Toxicology. Journal of Exposure Science and Environmental Epidemiology, 20(3), 231-236. https://doi.org/10.1038/jes.2008.70