ArticleBioinformatics (Oxford, England)2019
sAOP: linking chemical stressors to adverse outcomes pathway networks.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Leveraging integrative toxicogenomic approach towards development of stressor-centric adverse outcome pathway networks for plastic additives.Archives of toxicology · 2024Article
- Development of an adverse outcome pathway network for nephrotoxicity.Archives of toxicology · 2024Article
- Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models.Nature biotechnology · 2023Article
- Assessing network-based methods in the context of system toxicology.Frontiers in pharmacology · 2023Article
- The Exposome and Toxicology: A Win-Win Collaboration.Toxicological sciences : an official journal of the Society of Toxicology · 2022Review
- Emerging Bioinformatics Methods and Resources in Drug Toxicology.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Evidenced-Based Approaches to Support the Development of Endocrine-Mediated Adverse Outcome Pathways: Challenges and Opportunities.Frontiers in toxicology · 2021Article
- AOP4EUpest: mapping of pesticides in adverse outcome pathways using a text mining tool.Bioinformatics (Oxford, England) · 2020Article
- Quantitative adverse outcome pathway (qAOP) models for toxicity prediction.Archives of toxicology · 2020Review
- Integrative Strategy of Testing Systems for Identification of Endocrine Disruptors Inducing Metabolic Disorders-An Introduction to the OBERON Project.International journal of molecular sciences · 2020Review
- Deciphering Adverse Outcome Pathway Network Linked to Bisphenol F Using Text Mining and Systems Toxicology Approaches.Toxicological sciences : an official journal of the Society of Toxicology · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationAdverse outcome pathway (AOP) is a toxicological concept proposed to provide a mechanistic representation of biological perturbation over different layers of biological organization. Although AOPs are by definition chemical-agnostic, many chemical stressors can putatively interfere with one or several AOPs and such information would be relevant for regulatory decision-making.
resultsWith the recent development of AOPs networks aiming to facilitate the identification of interactions among AOPs, we developed a stressor-AOP network (sAOP). Using the 'cytotoxitiy burst' (CTB) approach, we mapped bioactive compounds from the ToxCast data to a list of AOPs reported in AOP-Wiki database. With this analysis, a variety of relevant connections between chemicals and AOP components can be identified suggesting multiple effects not observed in the simplified 'one-biological perturbation to one-adverse outcome' model. The results may assist in the prioritization of chemicals to assess risk-based evaluations in the context of human health. AVAILABILITY AND IMPLEMENTATION: sAOP is available at http://saop.cpr.ku.dk. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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