You are here:
ToxCast: Using high throughput screening to identify profiles of biological activity
Citation:
KAVLOCK, R. J. ToxCast: Using high throughput screening to identify profiles of biological activity. Presented at VII World Congress on Alternatives & Animal Use in the Life Sciences, Rome, ITALY, August 30 - September 04, 2009.
Impact/Purpose:
This presentation will provide an overview of the rationale, design and status of ToxCast, while the accompanying presentation by Judson will discuss the data analysis.
Description:
ToxCast, the United States Environmental Protection Agency’s chemical prioritization research program, is developing methods for utilizing computational chemistry and bioactivity profiling to predict potential for toxicity and prioritize limited testing resources (www.epa.gov/tocast). This presentation will provide an overview of the rationale, design and status of ToxCast, while the accompanying presentation by Judson will discuss the data analysis. In Phase I, our proof-of-concept component, we have focused upon evaluating chemicals with an existing, rich toxicological database in order to provide an interpretive context for the high through put screening data. This set of 320 reference chemicals, largely food use pesticides, represents numerous structural classes and phenotypic outcomes. Bioactivity data is derived from a broad spectrum of more than 500 readouts from biochemical assays, cell-based phenotypic assays, and model organisms. ToxCast is part of a larger government effort (Tox21) being conducted jointly by EPA, the National Toxicology Program of NIEHS, and the NCGC that is obtaining high throughput screening data on more than 2000 chemicals, with plans to expand to nearly 10000 chemicals in 2009. This is an abstract of a proposed presentation.
URLs/Downloads:
ToxCast: Using high throughput screening to identify profiles of biological activity (PDF, NA pp, 44 KB, about PDF)ToxCast: Using high throughput screening to identify profiles of biological activity (slides) (PDF, NA pp, 1213 KB, about PDF)