Visualize and interact with Reactome biological pathways
Merges pathway identifier mapping,
over-representation, and expression analysis
Designed to find pathways and network patterns related to cancer and other types of diseases
Information to browse the database and use its principal tools for data analysis
[February 1, 2025] In the July 2024 issue of Briefings in Bioinformatics, Yi et al. report on The Biochemical Pathway Prediction (BPP) framework, a predictive analytical tool that utilizes various graph representation learning models to predict attributes and links in biochemical pathways. BPP provides two pieces of information: link prediction, which identifies potential connections between entities and reactions, and attribute prediction, which predicts missing attributes of nodes. The BPP framework was used to evaluate datasets derived from Reactome pathway data (version 75 to version 85), specifically identifying a key receptor, glycosylated-ACE2, instrumental in the SARS-CoV-2 invasion process.
Human Pathways
Reactions
Proteins
Small Molecules
Drugs
Literature References
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