The ToxCast program for prioritizing toxicity testing of environmental chemicals

被引:634
|
作者
Dix, David J. [1 ]
Houck, Keith A. [1 ]
Martin, Matthew T. [1 ]
Richard, Ann M. [1 ]
Setzer, R. Woodrow [1 ]
Kavlock, Robert J. [1 ]
机构
[1] US EPA, Natl Ctr Computat Toxicol, Off Res & Dev, Res Triangle Pk, NC 27711 USA
关键词
high-throughput screening; toxicogenomics; chemoinformatics; bioinformatics;
D O I
10.1093/toxsci/kfl103
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
The U.S. Environmental Protection Agency (EPA) is developing methods for utilizing computational chemistry, high-throughput screening (HTS), and various toxicogenomic technologies to predict potential for toxicity and prioritize limited testing resources toward chemicals that likely represent the greatest hazard to human health and the environment. This chemical prioritization research program, entitled "ToxCast," is being initiated with the purpose of developing the ability to forecast toxicity based on bioactivity profiling. The proof-of-concept phase of ToxCast data. This set of several hundred reference chemicals will represent numerous structural classes and phenotypic outcomes, including tumorigens, developmental and reproductive toxicants, neurotoxicants, and immunotoxicants. The ToxCast program will evaluate chemical properties and bioactivity profiles across a broad spectrum of data domains: physical-chemical, predicted biological activities based on existing structure-activity models, biochemical properties based on HTS assays, cell-based phenotypic assays, and genomic and metabolomic analysis of cells. These data will be generated through a series of external contracts, along with collaberations across EPA, with the National Toxicology Program, and with the National Institutes of Health Chemical Genomics Centre. The resulting multidimensional data set provides an informatics challange requiring appropriate computational methods for integrating various chemical, biological, and toxicologic data into profiles and models predicting toxicity.
引用
收藏
页码:5 / 12
页数:8
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