Evidence map›Paper›PMID 33856768›Full record

ArticleEnvironmental science & technology2021

Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors.

Daniel E Dawson, Brandall L Ingle, Katherine A Phillips, John W Nichols, John F Wambaugh, Rogelio Tornero-Velez

Erratum issuedAbstract read
In one paragraph

Article in Environmental science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Incorporating a dermal absorption route into high throughput toxicokinetic modeling.Journal of exposure science & environmental epidemiology · 2026
    Article
  2. CombinedJournal of chemical information and modeling · 2025
    Article
  3. Article
  4. Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling.Toxicological sciences : an official journal of the Society of Toxicology · 2023
    Article
  10. Article
  11. Identifying xenobiotic metabolites withFrontiers in toxicology · 2023
    Article
  12. Article
  13. The chemical landscape of high-throughput new approach methodologies for exposure.Journal of exposure science & environmental epidemiology · 2022
    Review
  14. Evaluation of a rapid, generic human gestational dose model.Reproductive toxicology (Elmsford, N.Y.) · 2022
    Article
  15. Review
  16. Review
  17. Article
  18. Quo vadis blood protein adductomics?Archives of toxicology · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Daniel E DawsonOffice of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.ORCID 0000-0001-9622-4495
Brandall L IngleOffice of Research and Development, National Exposure Research Laboratory, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, Durham, North Carolina 27709, United States.
Katherine A PhillipsOffice of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.ORCID 0000-0001-5703-0698
John W NicholsOffice of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.
John F WambaughOffice of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.ORCID 0000-0002-4024-534X
Rogelio Tornero-VelezOffice of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.ORCID 0000-0003-2102-0548

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The intrinsic metabolic clearance rate (Cl

Indexed as

Models, BiologicalQuantitative Structure-Activity RelationshipComputer SimulationToxicokinetics

Identifiers

PMID33856768
PMCPMC8548983

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.