Introducing Reactome’s new Pathway Browser! Click the button to explore the new Pathway Browser Beta!

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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

[May 21, 2026] In their February 2026 Nature Genetics paper "Central role of glycosylation processes in human genetic susceptibility to SARS-CoV-2 infections with Omicron variants", Geller et al. describe the results of a genome-wide association study (GWAS) of a northern European population that identified 13 genome-wide significant loci correlated with susceptibility to infection with the Omicron strains of SARS-CoV-2. Gene set enrichment analysis showed these 13 loci are overrepresented in Reactome pathways for protein glycosylation, suggesting plausible mechanisms for the enhanced infectivity of Omicron variant SARS-CoV-2 viruses.

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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. 

European Bioinformatics Institute (EMBL-EBI)
NYU Langone Health
Oregon Health & Science University
Ontario Institute for Cancer Research

The development of Reactome is supported by a grant from the US National Institutes of Health (U24 HG012198).

Version 97 released on June 25, 2026

2,883

Human Pathways

16,423

Reactions

11,694

Proteins

2,188

Small Molecules

1,102

Drugs

43,308

Literature References

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