Incorporating biological, chemical, and toxicological knowledge into predictive models of toxicity

Toxicological Sciences

Volumn 130, Issue 2, 2012, Pages 440-441

  Dix, David J ^a   Houck, Keith A ^a   Judson, Richard S ^a   Kleinstreuer, Nicole C ^a   Knudsen, Thomas B ^a   Martin, Matthew T ^a   Reif, David M ^a   Richard, Ann M ^a   Shah, Imran ^a   Sipes, Nisha S ^a   Kavlock, Robert J ^a  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR ALPHA;

BIOLOGICAL ACTIVITY; CHEMICAL STRUCTURE; DRUG ACTIVITY; IN VITRO STUDY; LETTER; MACHINE LEARNING; NONHUMAN; TOXICITY; TOXICOLOGY;

ANIMALS; HAZARDOUS SUBSTANCES;

EID: 84869471214     PISSN: 10966080     EISSN: 10960929     Source Type: Journal    
DOI: 10.1093/toxsci/kfs281     Document Type: Letter

References (16)

1. Almuallim, H., and Dietterich, T. G. (1991). Learning with many irrelevant features. In Proceedings of the Ninth National Conference on Artificial Intelligence, pp. 547-552.
2. Dix, D. J., Houck, K. A., Martin, M. T., Richard, A. M., Setzer, R. W., and Kavlock, R. J. (2007). The ToxCast program for prioritizing toxicity testing of environmental chemicals. Toxicol. Sci. 95, 5-12.
3. Judson, R., Elloumi, F., Setzer, R. W., Li, Z., and Shah, I. (2008). A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model. BMC Bioinformatics 9, 241.
4. Judson, R. S., Houck, K. A., Kavlock, R. J., Knudsen, T. B., Martin, M. T., Mortensen, H. M., Reif, D. M., Rotroff, D. M., Shah, I., Richard, A. M., et al. (2010). In vitro screening of environmental chemicals for targeted testing prioritization: The ToxCast project. Environ. Health Perspect. 118, 485-492.
5. Judson, R. S., Kavlock, R. J., Setzer, R. W., Hubal, E. A., Martin, M. T., Knudsen, T. B., Houck, K. A., Thomas, R. S., Wetmore, B. A., and Dix, D. J. (2011). Estimating toxicity-related biological pathway altering doses for high-throughput chemical risk assessment. Chem. Res. Toxicol. 24, 451-462.
6. Kavlock, R., Chandler, K., Houck, K., Hunter, S., Judson, R., Kleinstreuer, N., Knudsen, T., Martin, M., Padilla, S., Reif, D., et al. (2012). Update on EPA's ToxCast program: Providing high throughput decision support tools for chemical risk management. Chem. Res. Toxicol. 25, 1287-1302.
7. Kleinstreuer, N. C., Judson, R. S., Reif, D. M., Sipes, N. S., Singh, A. V., Chandler, K. J., Dewoskin, R., Dix, D. J., Kavlock, R. J., and Knudsen, T. B. (2011). Environmental impact on vascular development predicted by highthroughput screening. Environ. Health Perspect. 119, 1596-1603.
8. Knudsen, T. B., and Kleinstreuer, N. C. (2011). Disruption of embryonic vascular development in predictive toxicology. Birth Defects Res. C Embryo Today 93, 312-323.
9. Knudsen, T. B., Martin, M. T., Kavlock, R. J., Judson, R. S., Dix, D. J., and Singh, A. V. (2009). Profiling the activity of environmental chemicals in prenatal developmental toxicity studies using the U.S. EPA's ToxRefDB. Reprod. Toxicol. 28, 209-219.
10. Martin, M. T., Judson, R. S., Reif, D. M., Kavlock, R. J., and Dix, D. J. (2009a). Profiling chemicals based on chronic toxicity results from the U.S. EPA ToxRef Database. Environ. Health Perspect. 117, 392-399.
11. Martin, M. T., Mendez, E., Corum, D. G., Judson, R. S., Kavlock, R. J., Rotroff, D. M., and Dix, D. J. (2009b). Profiling the reproductive toxicity of chemicals from multigeneration studies in the toxicity reference database. Toxicol. Sci. 110, 181-190.
12. Martin, M. T., Knudsen, T. B., Reif, D. M., Houck, K. A., Judson, R. S., Kavlock, R. J., and Dix, D. J. (2011). Predictive model of rat reproductive toxicity from ToxCast high throughput screening. Biol. Reprod. 85, 327-339.
13. Nel, A., Xia, T., Meng, H., Wang, X., Lin, S., Ji, Z., and Zhang, H. (forthcoming). Nanomaterial toxicity testing in the 21st Century: Use of a predictive toxicological approach and high-throughput screening. Acct. of Chem. Res.
14. Reif, D. M., Martin, M. T., Tan, S. W., Houck, K. A., Judson, R. S., Richard, A. M., Knudsen, T. B., Dix, D. J., and Kavlock, R. J. (2010). Endocrine profiling and prioritization of environmental chemicals using ToxCast data. Environ. Health Perspect. 118, 1714-1720.
15. Sipes, N. S., Martin, M. T., Reif, D. M., Kleinstreuer, N. C., Judson, R. S., Singh, A. V., Chandler, K. J., Dix, D. J., Kavlock, R. J., and Knudsen, T. B. (2011). Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data. Toxicol. Sci. 124, 109-127.
16. Thomas, R. S., Black, M. B., Li, L., Healy, E., Chu, T. M., Bao, W., Andersen, M. E., and Wolfinger, R. D. (2012). A comprehensive statistical analysis of predicting in vivo hazard using high-throughput in vitro screening. Toxicol. Sci. 128, 398-417.