Disease-drug association network
Dataset information
This is a disease-drug association network that contains information on drug-disease relationships. Nodes represent diseases and drugs (also including certain chemicals that are not human drugs), and edges represent associations between them. Examples of associations include interactions between arsenic and different diseases, including prostatic neoplasms, skin diseases, and myocardial ischemia. Disease-drug associations are useful to understand mechanisms by which drugs treat diseases and to develop hypotheses about mechanisms underlying environmental diseases.
| Dataset statistics | |
|---|---|
| Nodes | 7197 |
| Disease nodes | 5535 |
| Chemical nodes | 1662 |
| Edges | 466656 |
| Nodes in largest SCC | 7197 |
| Fraction of nodes in largest SCC | 1.000000 |
| Edges in largest SCC | 466656 |
| Fraction of edges in largest SCC | 1.000000 |
| Diameter (longest shortest path) | 5 |
| 90-percentile effective diameter | 3.505535 |
The information is extracted from a database of curated and inferred chemical-disease asssociations. Curated chemical-disease associations are extracted from published literature by biocurators. Inferred associations are established via curated chemical-gene interactions (e.g., chemical A is associated with disease B because chemical A has a curated interaction with gene C, and gene C has a curated association with disease B).
References
- The Comparative Toxicogenomics Database: update 2017. Davis, Allan Peter, et al. Nucleic Acids Research. 2016.
- MINER: Gigascale multimodal biological network. Stanford SNAP Group. GitHub Repository. 2017.
Files
| File | Size | Description |
|---|---|---|
| DCh-Miner_miner-disease-chemical.tsv.gz | 44MB | Disease-drug association network (edgelist) |