ArticleComputational toxicology (Amsterdam, Netherlands)2020
Structure-based QSAR Models to Predict Repeat Dose Toxicity Points of Departure.
Article in Computational toxicology (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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
13 citing papers in PubMed.
- Development of the toxicity values database, ToxValDB: A curated resource for experimental and derived human health-relevant toxicity data.Computational toxicology (Amsterdam, Netherlands) · 2025Article
- Building a compendium of expert driven read-across cases to facilitate an analysis of the contribution that different similarity contexts play in read-across performance.Computational toxicology (Amsterdam, Netherlands) · 2025Article
- Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025Review
- Food contaminants: mechanisms of toxicity, computational assessment, and mitigation.Frontiers in toxicology · 2025Review
- Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects.Environmental science & technology · 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
- A systematic analysis of read-across within REACH registration dossiers.Computational toxicology (Amsterdam, Netherlands) · 2024Article
- Probabilistic Reference and 10% Effect Concentrations for Characterizing Inhalation Non-cancer and Developmental/Reproductive Effects for 2,160 Substances.Environmental science & technology · 2024Article
- Workflow for predictive risk assessments of UVCBs: cheminformatics library design, QSAR, and read-across approaches applied to complex mixtures of metal naphthenates.Frontiers in toxicology · 2024Article
- Potential for Machine Learning to Address Data Gaps in Human Toxicity and Ecotoxicity Characterization.Environmental science & technology · 2023Article
- Reproducibility of organ-level effects in repeat dose animal studies.Computational toxicology (Amsterdam, Netherlands) · 2023Article
- Probabilistic Points of Departure and Reference Doses for Characterizing Human Noncancer and Developmental/Reproductive Effects for 10,145 Chemicals.Environmental health perspectives · 2023Article
- Modelling in Synthesis and Optimization of Active Vaccinal Components.Nanomaterials (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Human health risk assessment for environmental chemical exposure is limited by a vast majority of chemicals with little or no experimental
Identifiers
What OpenQuestion holds
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.