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COMPUTATIONAL TOXICOLOGY: AN APPROACH FOR PRIORITIZING CHEMICAL RISK ASSESSMENTS
Citation:
Bradbury, S P. COMPUTATIONAL TOXICOLOGY: AN APPROACH FOR PRIORITIZING CHEMICAL RISK ASSESSMENTS. Presented at Emerging Issues in Neurotoxicology Conference, Washington, DC, November 18-21, 2002.
Description:
Characterizing toxic effects for industrial chemicals carries the challenge of focusing resources on the greatest potential risks for human health and the environment. The union of molecular modeling, bioinformatics and simulation of complex systems with emerging technologies such as genomics and proteomics has created the possibility of developing a new strategy to prioritize the testing of chemicals. To demonstrate the feasibility of setting mechanistically-based priorities, identification and characterization of the major toxicity pathways leading to adverse outcomes (e.g., cancer, and reproductive, developmental, neurological impairment) is required to establish relationships between chemical structures and responses at the molecular level to changes at the organ and individual level. As a proof-of-concept, a research effort that is integrating the development of quantitative structure activity relationships with diagnostic in vitro and in vivo assays to discriminate toxicological pathways associated with ?endocrine disruption' will be described.
This abstract does not necessarily reflect USEPA policy.