Evidence map›Paper›PMID 30835285›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2019

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

Russell S Thomas, Tina Bahadori, Timothy J Buckley, John Cowden, Chad Deisenroth, Kathie L Dionisio, Jeffrey B Frithsen, Christopher M Grulke, Maureen R Gwinn, Joshua A Harrill and 32 more

Abstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 196 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
196citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

196 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review of in vitro approaches for assessing the toxicity of chemical stressors across diverse physiological systems.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Review
  5. Article
  6. Analytical choices drive toxicogenomic potency estimates: a systematic evaluation of transcriptomic points of departure.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  7. Article
  8. Multimodal Cross-Attentive Graph-Based Framework for Predicting In Vivo Endocrine Disruptors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Prioritising research on endocrine disruption in the marine environment: a global perspective.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

136 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

42 authors.

Russell S ThomasNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Tina BahadoriNational Center for Environmental Assessment, U.S. Environmental Protection Agnecy, Washington, D.C. 20004.
Timothy J BuckleyNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
John CowdenNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Chad DeisenrothNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Kathie L DionisioNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Jeffrey B FrithsenChemical Safety for Sustainability National Research Program, U.S. Environmental Protection Agency, Washington, D.C. 20004.
Christopher M GrulkeNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Maureen R GwinnNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Joshua A HarrillNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Mark HiguchiNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Keith A HouckNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Michael F HughesNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
E Sidney HunterNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Kristin K IsaacsNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Richard S JudsonNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Thomas B KnudsenNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Jason C LambertNational Center for Environmental Assessment, U.S. Environmental Protection Agency, Cincinnati, OH 45220.
Monica LinnenbrinkNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Todd M MartinNational Risk Management Research Laboratory, U.S. Environmental Protection Agency, Cincinnati, OH 45220.
Seth R NewtonNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Stephanie PadillaNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Grace PatlewiczNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Katie Paul-FriedmanNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Katherine A PhillipsNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Ann M RichardNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Reeder SamsNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Timothy J ShaferNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
R Woodrow SetzerNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Imran ShahNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Jane E SimmonsNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Steven O SimmonsNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Amar SinghNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Jon R SobusNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Mark StrynarNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Adam SwankNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Rogelio Tornero-ValezNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Elin M UlrichNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Daniel L VilleneuveNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Duluth, MN 55804.
John F WambaughNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Barbara A WetmoreNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Antony J WilliamsNational Center for Computational Toxicology, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

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.

Indexed as

Computational BiologyDecision MakingHigh-Throughput Screening AssaysHumansInformation TechnologyRisk AssessmentToxicokineticsToxicologyUnited StatesUnited States Environmental Protection Agencycheminformaticscomputational toxicologyExpoCastexposurehigh-throughput assayspredictive toxicologyrisk assessmentTox21ToxCasttoxicokinetics

Identifiers

PMID30835285
PMCPMC6542711

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.