AOPGraphExplorer — Transforming AOP Knowledge into Interactive Mechanistic Insights

We are excited to share the release of our latest preprint on AOPGraphExplorer, now available on bioRxiv. Adverse Outcome Pathways (AOPs) are foundational to mechanistic toxicology and regulatory science; they map how a molecular perturbation can causally lead to an adverse outcome across levels of biological organization. These frameworks help unify and communicate complex mechanistic evidence for chemical risk assessment and safety evaluation.

However, AOP knowledge in existing resources (like AOP-Wiki) tends to be fragmented and difficult to navigate as interconnected mechanistic networks. The new AOPGraphExplorer 2.0 addresses this gap by:

• Representing AOPs as interactive, unified graphs that connect Molecular Initiating Events, Key Events, and Adverse Outcomes, enriched with multi-domain biological context.

• Enabling exploration of multi-AOP networks rather than isolated linear pathways.

• Supporting evidence-based filtering, interactive graph visualization, identification of shared mechanistic hubs, and FAIR-aligned exports for downstream analysis.

This tool is designed to advance reproducible mechanistic reasoning, facilitate hypothesis generation, and better integrate AOP knowledge with broader biomedical, omics, and chemical data resources.

• You can access the preprint here.