ArticleChemical research in toxicology2017
Development and Validation of a Computational Model for Androgen Receptor Activity.
Article in Chemical research in toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
109 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Weight of evidence for cross-species conservation of androgen receptor-based biological activity.Toxicological sciences : an official journal of the Society of Toxicology · 2023Pooled it
- Guiding Risk Reduction for Breast Cancer-Relevant Chemicals (BC-Chems): Chemical Production Volumes, Sources, Intake Levels, Emissions, and Regulations.Environmental health perspectives · 2026Article
- 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 · 2026Review
- Multibehavioral Phenotyping in Early-Life-Stage Zebrafish for Identifying Disruptors of Nonassociative Learning.Environmental health perspectives · 2026Article
- Article
- Multimodal Cross-Attentive Graph-Based Framework for Predicting In Vivo Endocrine Disruptors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Hierarchical Mechanistic Modeling of Complex Toxicity Endpoints from Public Concentration-Response Data.Environmental science & technology · 2026Article
- High-Throughput Effect-Directed Analysis of Androgenic Compounds in Hospital Wastewater: Identifying Effect Drivers through Non-Target Screening Supported by Toxicity Prediction.Environmental science & technology · 2025Article
- In vitro confirmation of estrogenic and antiandrogenic pesticide bioactivity using schild regression analysis.Toxicology and applied pharmacology · 2025Article
- Screening for Endocrine Bioactivity Potential of Tobacco Product Chemicals Including Flavor Chemicals.Environmental toxicology · 2025Article
- Personal air sampling for pesticides in the California San Joaquin Valley.Journal of exposure science & environmental epidemiology · 2025Article
- An advancement in developmental and reproductive toxicity (DART) risk assessment: evaluation of a bioactivity and exposure-based NAM toolbox.Frontiers in toxicology · 2025Article
- Characterizing chlorotriazine effects in cancer-relevant high-throughput screening assays.Frontiers in toxicology · 2025Article
- Hypothesis-driven weight of evidence evaluation indicates ethylbenzene lacks endocrine disruption potential by EATS pathways.EXCLI journal · 2025Article
- Evaluation of the endocrine disrupting potential of Di-isononyl phthalate.Current research in toxicology · 2025Article
- Screening the ToxCast Chemical Libraries for Binding to Transthyretin.Chemical research in toxicology · 2024Article
- Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction.Journal of cheminformatics · 2024Article
- Community-Engaged Research and the Use of Open Access ToxVal/ToxRef In Vivo Databases and New Approach Methodologies (NAM) to Address Human Health Risks From Environmental Contaminants.Birth defects research · 2024Article
- Artificial intelligence (AI)-it's the end of the tox as we know it (and I feel fine).Archives of toxicology · 2024Review
- Free and open-source QSAR-ready workflow for automated standardization of chemical structures in support of QSAR modeling.Journal of cheminformatics · 2024Article
49 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Testing thousands of chemicals to identify potential androgen receptor (AR) agonists or antagonists would cost millions of dollars and take decades to complete using current validated methods. High-throughput in vitro screening (HTS) and computational toxicology approaches can more rapidly and inexpensively identify potential androgen-active chemicals. We integrated 11 HTS ToxCast/Tox21 in vitro assays into a computational network model to distinguish true AR pathway activity from technology-specific assay interference. The in vitro HTS assays probed perturbations of the AR pathway at multiple points (receptor binding, coregulator recruitment, gene transcription, and protein production) and multiple cell types. Confirmatory in vitro antagonist assay data and cytotoxicity information were used as additional flags for potential nonspecific activity. Validating such alternative testing strategies requires high-quality reference data. We compiled 158 putative androgen-active and -inactive chemicals from a combination of international test method validation efforts and semiautomated systematic literature reviews. Detailed in vitro assay information and results were compiled into a single database using a standardized ontology. Reference chemical concentrations that activated or inhibited AR pathway activity were identified to establish a range of potencies with reproducible reference chemical results. Comparison with existing Tier 1 AR binding data from the U.S. EPA Endocrine Disruptor Screening Program revealed that the model identified binders at relevant test concentrations (<100 μM) and was more sensitive to antagonist activity. The AR pathway model based on the ToxCast/Tox21 assays had balanced accuracies of 95.2% for agonist (n = 29) and 97.5% for antagonist (n = 28) reference chemicals. Out of 1855 chemicals screened in the AR pathway model, 220 chemicals demonstrated AR agonist or antagonist activity and an additional 174 chemicals were predicted to have potential weak AR pathway activity.
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Registered trials
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.