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MODELING THE INTERACTION BETWEEN ENVIRONMENTAL CHEMICALS AND RECEPTORS: A COMPUTATIONAL TOXICOLOGY APPROACH FOR PRIORITIZING BIOASSAY REQUIREMENTS.
Citation:
RABINOWITZ, J. R., S. LITTLE, M. PASQUINELLI, AND H. FAN. MODELING THE INTERACTION BETWEEN ENVIRONMENTAL CHEMICALS AND RECEPTORS: A COMPUTATIONAL TOXICOLOGY APPROACH FOR PRIORITIZING BIOASSAY REQUIREMENTS. Presented at Protein Society Symposium , Boston, MA, July 30 - August 03, 2005.
Impact/Purpose:
Assessing the potential toxicity of anthropogenic chemicals in the environment is an important goal for the Environmental Protection Agency. One of the principal problems encountered is the lack of specific bioassay data on specific chemicals of interest for many potential mechanisms of toxicity. Prioritizing bioassays is required due to finite resources, the number of chemicals in the environment, and the extent of potential mechanisms for toxicity. Modern molecular biology has provided both data and approaches for developing these priorities and for performing the assessments themselves. In order to aid in the establishment of priorities for types of bioassays and chemicals to be assayed, we have been developing a series of computational macromolecular targets for chemical toxicity. Modeling the interaction between macromolecular targets and chemicals in the environment will provide input for such a scheme.
Description:
Modeling the interaction between macromolecular targets and chemicals in the environment will provide input in the establishment of priorities for types of bioassays.