Drug side-effect association network
Dataset information
This is a drug side-effect association network that contains information on side effects caused by drugs that are on the U.S. market. Nodes represent drugs and side effects, and edges indicate recorded adverse drug reactions.
| Dataset statistics | |
|---|---|
| Nodes | 10825 |
| Drug nodes | 640 |
| Side effect nodes | 10185 |
| Edges | 174978 |
| Nodes in largest SCC | 10823 |
| Fraction of nodes in largest SCC | 1.000000 |
| Edges in largest SCC | 174977 |
| Fraction of edges in largest SCC | 0.999994 |
| Diameter (longest shortest path) | 6 |
| 90-percentile effective diameter | 3.853952 |
The information is extracted from public documents, package inserts, drug labels, off-label associations between drugs and side effects, and adverse event reporting systems that collect reports from doctors, patients and drug companies.
References
- Modeling polypharmacy side effects with graph convolutional networks. Marinka Zitnik, Monica Agrawal, and Jure Leskovec. Bioinformatics. 2018.
Presented at ISMB 2018
- Data-driven prediction of drug effects and interactions. Tatonetti, Nicholas P., et al. Science Translational Medicine. 2012.
- The SIDER database of drugs and side effects. Kuhn, Michael, et al. Nucleic Acids Research. 2015.
Files
| File | Size | Description |
|---|---|---|
| ChSe-Decagon_monopharmacy.csv.gz | 7.8MB | Drug side-effects (edgelist) |