Stressor Adverse Outcome Pathways for toxicology workflows
Incremental modernization
The sAOP (stressor AOP) server is a resource for annotated AOPs (adverse outcome pathways) connected to toxic compounds from ToxCast. It is a compilation of more than 6000 chemical compounds annotated to the assay endpoints used for their detection, as well as more than 200 AOPs.
sAOP aids in the assessment of toxic and adverse events, and side effects. By integrating a dataset containing annotated bioassays for chemical risk assessment (drugs and environmental chemicals), transcriptomics-linked genes, and the OECD-approved AOPs, this tool assists researchers in identifying toxic compounds related to specific AOPs, assays for validating toxic events, genes associated with transcriptomic responses, and previously described adverse outcome pathways.
Also check out version 1 of the stressor Adverse Outcome Pathway tool made by former PhD student in the Brunak group, Alejandro Aguayo Orozco: https://saop.cpr.ku.dk
Scientific scope
sAOP brings together chemical stressors, assay endpoints, genes highlighted through transcriptomics, proteins, and AOP key events in a single exploration workflow.
The goal is to help researchers move from a compound of interest to the surrounding biological evidence and adverse outcome context without losing the mechanistic links between those layers.
Funding context
The project is part of RISK-HUNT3R and the ASPIS cluster, supported by the European Union's Horizon 2020 Research and Innovation programme under Grant Agreement No. 964537.
Search workspace
Explore connected chemicals, assays, genes, proteins, diseases, and key events. Use focused mode for a readable browser view or full mode for uncapped traversal.
Focused view keeps the graph readable by prioritizing higher-signal neighbors and limiting dense expansions.
| ID | Title/Name | Type |
|---|
| Source | Target | AC50 | Z-score | Species |
|---|
About
A so-called adverse outcome pathway (AOP) is a toxicological concept proposed to provide a mechanistic representation of biological perturbation across molecular, cellular, and system levels. The perturbation can lead to an adverse outcome at both individual and population level. Although the concept is independent of a given chemical, some AOPs have been proposed with a specific chemical-induced perturbation defined as a stressor. Many chemicals can putatively interfere with an AOP, and that information is relevant for regulatory decision-making.
The original sAOP work connected chemical stressors to AOP networks. This modernized interface preserves that scientific framing while updating the website architecture in an incremental, lower-risk way.
Research environment
Translation disease systems biology in the Brunak group focuses on understanding multimorbidity disease progression patterns and their relation to treatment events, integrating heterogeneous life science data from molecular and clinical domains.
Cookies
The original website loaded a cookie consent banner and analytics script. This modernized interface keeps cookie language visible so production deployments can continue to surface consent clearly whenever analytics or non-essential cookies are enabled.