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The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.

Publication ,  Journal Article
Thomas, RS; Bahadori, T; Buckley, TJ; Cowden, J; Deisenroth, C; Dionisio, KL; Frithsen, JB; Grulke, CM; Gwinn, MR; Harrill, JA; Higuchi, M ...
Published in: Toxicological sciences : an official journal of the Society of Toxicology
June 2019

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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Published In

Toxicological sciences : an official journal of the Society of Toxicology

DOI

EISSN

1096-0929

ISSN

1096-6080

Publication Date

June 2019

Volume

169

Issue

2

Start / End Page

317 / 332

Related Subject Headings

  • United States Environmental Protection Agency
  • United States
  • Toxicology
  • Toxicology
  • Toxicokinetics
  • Risk Assessment
  • Information Technology
  • Humans
  • High-Throughput Screening Assays
  • Decision Making
 

Citation

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Thomas, R. S., Bahadori, T., Buckley, T. J., Cowden, J., Deisenroth, C., Dionisio, K. L., … Williams, A. J. (2019). The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. Toxicological Sciences : An Official Journal of the Society of Toxicology, 169(2), 317–332. https://doi.org/10.1093/toxsci/kfz058
Thomas, Russell S., Tina Bahadori, Timothy J. Buckley, John Cowden, Chad Deisenroth, Kathie L. Dionisio, Jeffrey B. Frithsen, et al. “The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.Toxicological Sciences : An Official Journal of the Society of Toxicology 169, no. 2 (June 2019): 317–32. https://doi.org/10.1093/toxsci/kfz058.
Thomas RS, Bahadori T, Buckley TJ, Cowden J, Deisenroth C, Dionisio KL, et al. The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. Toxicological sciences : an official journal of the Society of Toxicology. 2019 Jun;169(2):317–32.
Thomas, Russell S., et al. “The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.Toxicological Sciences : An Official Journal of the Society of Toxicology, vol. 169, no. 2, June 2019, pp. 317–32. Epmc, doi:10.1093/toxsci/kfz058.
Thomas RS, Bahadori T, Buckley TJ, Cowden J, Deisenroth C, Dionisio KL, Frithsen JB, Grulke CM, Gwinn MR, Harrill JA, Higuchi M, Houck KA, Hughes MF, Hunter ES, Isaacs KK, Judson RS, Knudsen TB, Lambert JC, Linnenbrink M, Martin TM, Newton SR, Padilla S, Patlewicz G, Paul-Friedman K, Phillips KA, Richard AM, Sams R, Shafer TJ, Setzer RW, Shah I, Simmons JE, Simmons SO, Singh A, Sobus JR, Strynar M, Swank A, Tornero-Valez R, Ulrich EM, Villeneuve DL, Wambaugh JF, Wetmore BA, Williams AJ. The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. Toxicological sciences : an official journal of the Society of Toxicology. 2019 Jun;169(2):317–332.
Journal cover image

Published In

Toxicological sciences : an official journal of the Society of Toxicology

DOI

EISSN

1096-0929

ISSN

1096-6080

Publication Date

June 2019

Volume

169

Issue

2

Start / End Page

317 / 332

Related Subject Headings

  • United States Environmental Protection Agency
  • United States
  • Toxicology
  • Toxicology
  • Toxicokinetics
  • Risk Assessment
  • Information Technology
  • Humans
  • High-Throughput Screening Assays
  • Decision Making