The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency
Open accessAbstract
The U.S. Environmental Protection Agency (EPA) is faced with the challenge of efficiently and credibly evaluating chemical safety often with limited or no available toxicity data. The expanding number of chemicals found in commerce and the environment, coupled with time and resource requirements for traditional toxicity testing and exposure characterization, continue to underscore the need for new approaches. In 2005, EPA charted a new course to address this challenge by embracing computational toxicology (CompTox) and investing in the technologies and capabilities to push the field forward. The return on this investment has been demonstrated through results and applications across a range of human and environmental health problems, as well as initial application to regulatory decision-making within programs such as the EPA’s Endocrine Disruptor Screening Program. The CompTox initiative at EPA is more than a decade old. This manuscript presents a blueprint to guide the strategic and operational direction over the next 5 years. The primary goal is to obtain broader acceptance of the CompTox approaches for application to higher tier regulatory decisions, such as chemical assessments. To achieve this goal, the blueprint expands and refines the use of high-throughput and computational modeling approaches to transform the components in chemical risk assessment, while systematically addressing key challenges that have hindered progress. In addition, the blueprint outlines additional investments in cross-cutting efforts to characterize uncertainty and variability, develop software and information technology tools, provide outreach and training, and establish scientific confidence for application to different public health and environmental regulatory decisions.
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Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257
Ankley, G. T., Bennett, R. S., Erickson, R. J., Hoff, D. J., Hornung, M. W., Johnson, R. D., Mount, D. R., Nichols, J. W., Russom, C. L., Schmieder, P. K., et al. (2009) · Environmental Toxicology and Chemistry · doi:10.1002/etc.34 · Cited by 2,734
Self-citationThe CompTox Chemistry Dashboard: a community data resource for environmental chemistry
Williams, A. J., Grulke, C. M., Edwards, J., McEachran, A. D., Mansouri, K., Baker, N. C., Patlewicz, G., Shah, I., Wambaugh, J. F., Judson, R. S., et al. (2017) · Journal of Cheminformatics · doi:10.1186/s13321-017-0247-6 · Cited by 1,143
Self-citationBray, M.-A., Singh, S., Han, H., Davis, C. T., Borgeson, B., Hartland, C., Kost-Alimova, M., Gustafsdottir, S. M., Gibson, C. C., & Carpenter, A. E. (2016) · Nature Protocols · doi:10.1038/nprot.2016.105 · Cited by 1,090
The ToxCast Program for Prioritizing Toxicity Testing of Environmental Chemicals
Dix, D. J., Houck, K. A., Martin, M. T., Richard, A. M., Setzer, R. W., & Kavlock, R. J. (2007) · Toxicological Sciences · doi:10.1093/toxsci/kfl103 · Cited by 1,012
Self-citationToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology
Richard, A. M., Judson, R. S., Houck, K. A., Grulke, C. M., Volarath, P., Thillainadarajah, I., Yang, C., Rathman, J., Martin, M. T., Wambaugh, J. F., et al. (2016) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.6b00135 · Cited by 709
Self-citationKey Characteristics of Carcinogens as a Basis for Organizing Data on Mechanisms of Carcinogenesis
Smith, M. T., Guyton, K. Z., Gibbons, C. F., Fritz, J. M., Portier, C. J., Rusyn, I., DeMarini, D. M., Caldwell, J. C., Kavlock, R. J., Lambert, P. F., et al. (2016) · Environmental Health Perspectives · doi:10.1289/ehp.1509912 · Cited by 650
Transforming Environmental Health Protection
Collins, F. S., Gray, G. M., & Bucher, J. R. (2008) · Science · doi:10.1126/science.1154619 · Cited by 630
OPERA models for predicting physicochemical properties and environmental fate endpoints
Mansouri, K., Grulke, C. M., Judson, R. S., & Williams, A. J. (2018) · Journal of Cheminformatics · doi:10.1186/s13321-018-0263-1 · Cited by 624
Self-citationImproving the Human Hazard Characterization of Chemicals: A Tox21 Update
Tice, R. R., Austin, C. P., Kavlock, R. J., & Bucher, J. R. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1205784 · Cited by 618
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Schmeisser, S., Miccoli, A., von Bergen, M., Berggren, E., Braeuning, A., Busch, W., Desaintes, C., Gourmelon, A., Grafström, R., Harrill, J., et al. (2023) · Environment International · doi:10.1016/j.envint.2023.108082 · Cited by 380
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Nyffeler, J., Willis, C., Lougee, R., Richard, A., Paul-Friedman, K., & Harrill, J. A. (2020) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2019.114876 · Cited by 136
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Metadata
- Authors
- Thomas, R. S., Bahadori, T., Buckley, T. J., Cowden, J., Deisenroth, C., Dionisio, K. L., Frithsen, J. B., Grulke, C. M., Gwinn, M. R., Harrill, J. A., Higuchi, M., Houck, K. A., Hughes, M. F., Hunter, E. S., Isaacs, K. K., Judson, R. S., Knudsen, T. B., Lambert, J. C., Linnenbrink, M., Martin, T. M., Newton, S. R., Padilla, S., Patlewicz, G., Paul-Friedman, K., Phillips, K. A., Richard, A. M., Sams, R., Shafer, T. J., Setzer, R. W., Shah, I., Simmons, J. E., Simmons, S. O., Singh, A., Sobus, J. R., Strynar, M., Swank, A., Tornero-Valez, R., Ulrich, E. M., Villeneuve, D. L., Wambaugh, J. F., Wetmore, B. A., & Williams, A. J.
- Venue
- Toxicological Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-03-05
- Volume
- 169
- Issue
- 2
- Pages
- 317-332
- ISSN
- 1096-0929 (ISSN-L)
- 1096-6080
- OpenAlex
- W2919637418
- Cited by
- 373
- References
- 109
- FWCI
- 27.99
- Type
- journal article
- Language
- en
- Open access
- green
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- Thomas, R. S., Bahadori, T., Buckley, T. J., Cowden, J., Deisenroth, C., Dionisio, K. L., Frithsen, J. B., Grulke, C. M., Gwinn, M. R., Harrill, J. A., Higuchi, M., Houck, K. A., Hughes, M. F., Hunter, E. S., Isaacs, K. K., Judson, R. S., Knudsen, T. B., Lambert, J. C., Linnenbrink, M., . . . Williams, A. J. (2019). The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. Toxicological Sciences. https://doi.org/10.1093/toxsci/kfz058
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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