Published December 1, 2025
| Version 2025-12
Dataset
Open
Adverse Outcome Pathway Wiki RDF
Authors/Creators
- 1. Department of Bioinformatics (BiGCaT), NUTRIM, Maastricht University, Maastricht, the Netherlands
Description
This dataset is the RDF generated from the AOP-Wiki data release (aopwiki.org/downloads). It was generated using a Jupyter notebook that is available on GitHub (github.com/marvinm2/AOPWikiRDF), and the process and additional description of the RDF have been published (doi.org/10.1089/aivt.2021.0010).
Notes
Funded by the European Union's Horizon 2020 (EU 2020) research and innovation program under grant agreement no. 681002 (EU-ToxRisk), grant agreement no. 814572 (NanoSolveIT), grant agreement no. 814425 (RiskGONE), EINFRA-22-2016 program under grant agreement no. 731075 (OpenRiskNet), and VHP4Safety, which is funded by the Netherlands Research Council (NWO) 'Netherlands Research Agenda: Research on Routes by Consortia' (NWA-ORC 1292.19.272)
Files
Files
(18.0 MB)
| Name | Size | Download all |
|---|---|---|
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md5:a2070a210953972dddf7143a0bafe045
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1.9 MB | Download |
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md5:1b26ba203114660c6ac05069d1bf6260
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2.0 kB | Download |
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md5:0674b518f7fb34389e2e1df959df3ba8
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16.1 MB | Download |
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md5:be565b9b214cc28d4c66b4928b6cdfd5
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1.4 kB | Download |
Additional details
Related works
- References
- Journal article: 10.1089/aivt.2021.0010 (DOI)
Funding
- European Commission
- NanoSolveIT - Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology (NanoSolveIT) 814572
- European Commission
- EU-ToxRisk - An Integrated European ‘Flagship’ Program Driving Mechanism-based Toxicity Testing and Risk Assessment for the 21st Century 681002
- European Commission
- RiskGONE - Risk Governance of Nanotechnology 814425
- European Commission
- OpenRiskNet - OpenRiskNet: Open e-Infrastructure to Support Data Sharing, Knowledge Integration and in silico Analysis and Modelling in Risk Assessment 731075
- Dutch Research Council
- The Virtual Human Platform for Safety Assessment 36952
References
- 10.1089/aivt.2021.0010