Dix David J, Houck Keith A, Martin Matthew T, Richard Ann M, Setzer R Woodrow, Kavlock Robert J
National Center for Computational Toxicology D343-03, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA.
Toxicol Sci. 2007 Jan;95(1):5-12. doi: 10.1093/toxsci/kfl103. Epub 2006 Sep 8.
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 will focus upon chemicals with an existing, rich toxicological database in order to provide an interpretive context for the 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 analyses of cells. These data will be generated through a series of external contracts, along with collaborations across EPA, with the National Toxicology Program, and with the National Institutes of Health Chemical Genomics Center. The resulting multidimensional data set provides an informatics challenge requiring appropriate computational methods for integrating various chemical, biological, and toxicological data into profiles and models predicting toxicity.
美国环境保护局(EPA)正在开发利用计算化学、高通量筛选(HTS)以及各种毒理基因组学技术的方法,以预测毒性潜力,并将有限的测试资源优先用于那些可能对人类健康和环境构成最大危害的化学物质。这个名为“ToxCast”的化学物质优先排序研究项目正在启动,目的是培养基于生物活性谱预测毒性的能力。ToxCast的概念验证阶段将聚焦于拥有丰富现有毒理学数据库的化学物质,以便为ToxCast数据提供一个解释性背景。这组数百种参考化学物质将代表众多结构类别和表型结果,包括致癌物质、发育和生殖毒性物质、神经毒性物质以及免疫毒性物质。ToxCast项目将在广泛的数据领域评估化学性质和生物活性谱:物理化学性质、基于现有构效模型预测的生物活性、基于高通量筛选分析的生化性质、基于细胞的表型分析,以及细胞的基因组和代谢组分析。这些数据将通过一系列外部合同,以及EPA、国家毒理学计划和美国国立卫生研究院化学基因组学中心之间的合作来生成。由此产生的多维数据集带来了一个信息学挑战,需要适当的计算方法将各种化学、生物和毒理学数据整合到预测毒性的谱图和模型中。