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

November 1, 2023: In their paper entitled XMR: an explainable multimodal neural network for drug response prediction , published in Frontiers in Bioinformatics in August 2023, Wang et al. use five Reactome pathways: Cell Cycle, DNA Repair, Disease, Signal Transduction, and Metabolism as an architecture of a visible neural network that is part of a deep learning model for prediction of drug responses in triple negative breast cancer..

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.

Version 86 released on September 13th, 2023

2,647

Human Pathways

14,803

Reactions

11,356

Proteins

2,094

Small Molecules

1,038

Drugs

37,135

Literature References

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