ArticleToxicological sciences : an official journal of the Society of Toxicology2017
How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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
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Who cites it
67 citing papers in PubMed.
- A pipeline for developing AI-driven models to predict molecular initiating events: a case study on neural tube defects.Journal of cheminformatics · 2026Article
- Chemosensory tobacco product toxicology part 2: toxicological testing, assays, and state of the science.Toxicological sciences : an official journal of the Society of Toxicology · 2025Review
- De-risking seizure liability: integrating adverse outcome pathways (AOPs), new approach methodologies (NAMs), and in silico approaches while highlighting knowledge gaps.Toxicological sciences : an official journal of the Society of Toxicology · 2025Review
- Cross-Species Molecular Docking Method to Support Predictions of Species Susceptibility to Chemical Effects.Computational toxicology (Amsterdam, Netherlands) · 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
- Using Pop-GUIDE to Assess the Applicability of MCnest for Relative Risk of Pesticides to Hummingbirds.Ecologies · 2023Article
- Application of AOPs to assist regulatory assessment of chemical risks - Case studies, needs and recommendations.Environmental research · 2023Review
- A comprehensive understanding of ambient particulate matter and its components on the adverse health effects based from epidemiological and laboratory evidence.Particle and fibre toxicology · 2022Review
- Review
- Providing Adverse Outcome Pathways from the AOP-Wiki in a Semantic Web Format to Increase Usability and Accessibility of the Content.Applied in vitro toxicology · 2022Article
- Towards a qAOP framework for predictive toxicology - Linking data to decisions.Computational toxicology (Amsterdam, Netherlands) · 2022Article
- Overview of Adverse Outcome Pathways and Current Applications on Nanomaterials.Advances in experimental medicine and biology · 2022Review
- Correlation Analysis of Variables From the Atherosclerosis Risk in Communities Study.Frontiers in pharmacology · 2022Article
- Pluripotent stem cell assays: Modalities and applications for predictive developmental toxicity.Current research in toxicology · 2022Article
- A Case Study on Integrating a New Key Event Into an Existing Adverse Outcome Pathway on Oxidative DNA Damage: Challenges and Approaches in a Data-Rich Area.Frontiers in toxicology · 2022Article
- Endogenous Lifecycle Models for Chemical Risk Assessment.Environmental science & technology · 2021Article
- A Pragmatic Approach to Adverse Outcome Pathway Development and Evaluation.Toxicological sciences : an official journal of the Society of Toxicology · 2021Article
- Extrapolating from acute to chronic toxicity in vitro.Toxicology in vitro : an international journal published in association with BIBRA · 2021Article
- Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language.International journal of environmental research and public health · 2021Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
Efforts are underway to transform regulatory toxicology and chemical safety assessment from a largely empirical science based on direct observation of apical toxicity outcomes in whole organism toxicity tests to a predictive one in which outcomes and risk are inferred from accumulated mechanistic understanding. The adverse outcome pathway (AOP) framework provides a systematic approach for organizing knowledge that may support such inference. Likewise, computational models of biological systems at various scales provide another means and platform to integrate current biological understanding to facilitate inference and extrapolation. We argue that the systematic organization of knowledge into AOP frameworks can inform and help direct the design and development of computational prediction models that can further enhance the utility of mechanistic and in silico data for chemical safety assessment. This concept was explored as part of a workshop on AOP-Informed Predictive Modeling Approaches for Regulatory Toxicology held September 24-25, 2015. Examples of AOP-informed model development and its application to the assessment of chemicals for skin sensitization and multiple modes of endocrine disruption are provided. The role of problem formulation, not only as a critical phase of risk assessment, but also as guide for both AOP and complementary model development is described. Finally, a proposal for actively engaging the modeling community in AOP-informed computational model development is made. The contents serve as a vision for how AOPs can be leveraged to facilitate development of computational prediction models needed to support the next generation of chemical safety assessment.
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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.