Find Reactions, Proteins and Pathways
Pathway Browser
Visualize and interact with Reactome biological pathways
Analysis Tools
Merges pathway identifier mapping,
over-representation, and expression analysis
AI Chatbot
Meet the React-to-Me AI Chatbot! Designed to answer your questions about Reactome Pathways.
ReactomeFIViz
Designed to find pathways and network patterns related to cancer and other types of diseases
Documentation
Information to browse the database and use its principal tools for data analysis
Reactome Research Spotlight
[April 13, 2026] In their March 2025 Society of Toxicology paper “A workflow for human health hazard evaluation using transcriptomic data and Key Characteristics-based gene sets”, Tsai et al. present a systematic workflow for linking transcriptomic data to chemical hazard identification using Key Characteristics (KCs). Reactome and KEGG pathways were mapped to 34 umbrella KC terms collated from seven published hazard KC sets, generating 34 "KC gene sets" for each database for enrichment analysis. Tested against gene expression data for benzene, TCDD, sunitinib, and a negative control, the KEGG- and Reactome-derived KC gene sets successfully identified mechanistically relevant hazard terms - demonstrating a transparent, reusable approach for integrating transcriptomics into regulatory toxicology.
Why Reactome
Reactome is a free, open-source, curated and peer-reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic research, genome analysis, modeling, systems biology and education.
The development of Reactome is supported by grants from the US National Institutes of Health (U24 HG012198) and the European Molecular Biology Laboratory.
Version 96 released on April 2, 2026
Human Pathways
Reactions
Proteins
Small Molecules
Drugs
Literature References
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