Predictive QSAR Models of Hepatotoxicity

EPA Grant Number: R834999
Title: Predictive QSAR Models of Hepatotoxicity
Investigators: Tropsha, Alex
Institution: University of North Carolina at Chapel Hill
EPA Project Officer: Peterson, Todd
Project Period: June 1, 2011 through May 30, 2015
Project Amount: $750,000
RFA: Computational Toxicology: Biologically-Based Multi-Scale Modeling (2010) RFA Text |  Recipients Lists
Research Category: Computational Toxicology , Health , Safer Chemicals

Description:

This project proposes to: compile and curate a database of information on biological and chemical information related to hepatotoxicity; develop predictive models based on this information; and make freely available both models and data on a web portal. This research will provide the methods and data necessary to understand the inherent attibutes of chemicals that lead to their toxicity. The project can ultimately lead to a better understanding of the results of chemical exposure, thus helping to protect public health.