ArticleScientific data2021
The 2021 update of the EPA's adverse outcome pathway database.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 27 citations in OpenAlex.
- A high-throughput method to computationally develop candidate adverse outcome pathways in humans: a proof of concept with insecticides and Parkinson's Disease.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Cadmium Exposure and Osteoporosis: A Spatially Contextualized Adverse Outcome Pathway Integrating Epidemiology, Toxicogenomics and Transcriptomics.Biological trace element research · 2026Article
- Semantic knowledge improves molecular machine learning for chemical toxicity prediction.iScience · 2026Article
- Immune-competent new approach methodologies for a hybrid future.Nature immunology · 2026Article
- The PrecisionTox chemical library: creation of a chemical collection to discover evolutionary conserved biomolecular signatures of toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Advancing toxicity AI-based prediction with multilevel systems biology: a case study on genotoxicity.Briefings in bioinformatics · 2025Article
- The FAIR AOP roadmap for 2025: Advancing findability, accessibility, interoperability, and re-usability of adverse outcome pathways.Computational toxicology (Amsterdam, Netherlands) · 2025Article
- Developmental toxicity: artificial intelligence-powered assessments.Trends in pharmacological sciences · 2025Review
- Article
- The Alzheimer's Knowledge Base: A Knowledge Graph for Alzheimer Disease Research.Journal of medical Internet research · 2024Article
- Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species.The Science of the total environment · 2024Article
- Why adverse outcome pathways need to be FAIR.ALTEX · 2024Article
- Exposure to PFAS chemicals induces sex-dependent alterations in key rate-limiting steps of lipid metabolism in liver steatosis.Frontiers in toxicology · 2024Article
- Translating nanoEHS data using EPA NaKnowBase and the resource description framework.F1000Research · 2024Article
- U. S. federal perspective on critical research issues in nanoEHS.Environmental science. Nano · 2023Article
- Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science.Computational toxicology (Amsterdam, Netherlands) · 2023Article
- Automating Predictive Toxicology Using ComptoxAI.Chemical research in toxicology · 2022Article
- Risk-Based Prioritization of Organic Chemicals and Locations of Ecological Concern in Sediment From Great Lakes Tributaries.Environmental toxicology and chemistry · 2022Article
- Towards a qAOP framework for predictive toxicology - Linking data to decisions.Computational toxicology (Amsterdam, Netherlands) · 2022Article
- The AOP-DB RDF: Applying FAIR Principles to the Semantic Integration of AOP Data Using the Research Description Framework.Frontiers in toxicology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
The EPA developed the Adverse Outcome Pathway Database (AOP-DB) to better characterize adverse outcomes of toxicological interest that are relevant to human health and the environment. Here we present the most recent version of the EPA Adverse Outcome Pathway Database (AOP-DB), version 2. AOP-DB v.2 introduces several substantial updates, which include automated data pulls from the AOP-Wiki 2.0, the integration of tissue-gene network data, and human AOP-gene data by population, semantic mapping and SPARQL endpoint creation, in addition to the presentation of the first publicly available AOP-DB web user interface. Potential users of the data may investigate specific molecular targets of an AOP, the relation of those gene/protein targets to other AOPs, cross-species, pathway, or disease-AOP relationships, or frequencies of AOP-related functional variants in particular populations, for example. Version updates described herein help inform new testable hypotheses about the etiology and mechanisms underlying adverse outcomes of environmental and toxicological concern.
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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.