Pathway Browser

Visualize and interact with Reactome biological pathways

Analysis Tools

Merges pathway identifier mapping,
over-representation, and expression analysis

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

Tagliazucchi L et al. 2023 in the March 2023 issue of ACS Infectious Diseases used the REACTOME overrepresentation and pathway topology analyses to identify Transport of small molecules, Cellular response to stimuli, and other pathways associated with drug resistance and therapeutic failure (TF) during Leishmania infantum infection; they also discovered NDK3 and TFRC as potential targets for host-directed anti-Leishmania therapies to overcome drug-resistance.

ARCHIVE

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 grants from the US National Institutes of Health (U24 HG012198) and the European Molecular Biology Laboratory.

Tweets

Version 84 released on March 29, 2023

2,615

Human Pathways

14,516

Reactions

11,371

Proteins

2,002

Small Molecules

1,113

Drugs

36,444

Literature References

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