Evidence map›Paper›PMID 35192406›Full record

ArticleEnvironmental health perspectives2022

STopTox: An

Joyce V B Borba, Vinicius M Alves, Rodolpho C Braga, Daniel R Korn, Kirsten Overdahl, Arthur C Silva, Steven U S Hall, Erik Overdahl, Nicole Kleinstreuer, Judy Strickland and 4 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Article
  2. Prediction of Ocular Toxicity of Prostaglandin FMolecules (Basel, Switzerland) · 2026
    Article
  3. Article
  4. AI/ML-based computational models for toxicity prediction.Environmental science and pollution research international · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Synthesis of azole-linkedNanoscale advances · 2026
    Article
  9. Article
  10. Article
  11. Molecular and Pharmacokinetic Rationale for the Use ofMolecules (Basel, Switzerland) · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

28 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

14 authors.

Joyce V B BorbaLaboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-2663-5173
Vinicius M AlvesLaboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-6182-1748
Rodolpho C BragaInsilicAll, Sao Paulo, Sao Paulo, Brazil.
Daniel R KornLaboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA.
Kirsten OverdahlNicholas School of the Environment, Duke University, Durham, North Carolina, USA.
Arthur C SilvaLaboratory for Molecular Modeling and Drug Design, Federal University of Goias, Goiania, Goias, Brazil.ORCID 0000-0001-9866-3344
Steven U S HallLaboratory for Molecular Modeling and Drug Design, Federal University of Goias, Goiania, Goias, Brazil.ORCID 0000-0003-2290-1304
Erik OverdahlLaboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA.
Nicole KleinstreuerNational Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods (NICEATM), National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-7914-3682
Judy StricklandIntegrated Laboratory Systems, LLC, Research Triangle Park, North Carolina, USA.
David AllenIntegrated Laboratory Systems, LLC, Research Triangle Park, North Carolina, USA.
Carolina Horta AndradeLaboratory for Molecular Modeling and Drug Design, Federal University of Goias, Goiania, Goias, Brazil.ORCID 0000-0003-0101-1492
Eugene N MuratovLaboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0003-4616-7036
Alexander TropshaLaboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0003-3802-8896

Funding

Scientific Cyberinfrastructure Research ProgramZIAES103385 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WALKER, VICKIE · 2022 to 2025
$17.4M
Research Operations Supporting the National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological MethodsZICES103386 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI HOGBERG-DURDOCK, HELENA · 2022 to 2025
$3.3M
Drug Repurposing for Cancer Therapy: From Man to Molecules to ManU01CA207160 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROPSHA, ALEXANDER · 2016 to 2018
$1.2M
STopTox: A comprehensive in silico platform for predicting systemic and topical toxicityR41ES033589 · NIEHS · PREDICTIVE, LLC · PI TROPSHA, ALEXANDER · 2021 to 2021
$256k
Development of a web-based platform implementing novel Predictor of Skin Sensitization for Medical Devices (PreSS/MD)R43ES032371 · NIEHS · PREDICTIVE, LLC · PI RIBEILL, YVES · 2020 to 2020
$168k
NCI NIH HHS U01 CA207160NIEHS NIH HHS R41 ES033589NIEHS NIH HHS R43 ES032371
6 · The paper itself

Abstract

backgroundModern chemical toxicology is facing a growing need to Reduce, Refine, and Replace animal tests (Russell 1959) for hazard identification. The most common type of animal assays for acute toxicity assessment of chemicals used as pesticides, pharmaceuticals, or in cosmetic products is known as a "6-pack" battery of tests, including three topical (skin sensitization, skin irritation and corrosion, and eye irritation and corrosion) and three systemic (acute oral toxicity, acute inhalation toxicity, and acute dermal toxicity) end points.

methodsWe compiled, curated, and integrated, to the best of our knowledge, the largest publicly available data sets and developed an ensemble of quantitative structure-activity relationship (QSAR) models for all six end points. All models were validated according to the Organisation for Economic Co-operation and Development (OECD) QSAR principles, using data on compounds not included in the training sets.

resultsIn addition to high internal accuracy assessed by cross-validation, all models demonstrated an external correct classification rate ranging from 70% to 77%. We established a publicly accessible Systemic and Topical chemical Toxicity (STopTox) web portal (https://stoptox.mml.unc.edu/) integrating all developed models for 6-pack assays.

conclusionsWe developed STopTox, a comprehensive collection of computational models that can be used as an alternative to

Indexed as

Animal Testing AlternativesComputer SimulationHazardous SubstancesAnimalsCosmeticsPesticidesPharmaceutical PreparationsQuantitative Structure-Activity RelationshipCosmeticsHazardous SubstancesPesticidesPharmaceutical Preparations

Identifiers

PMID35192406
PMCPMC8863177

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.