This is a network of interactions betweeen drugs, which are approved by the U.S. Food and Drug Administration. Nodes represent drugs and edges represent drug interactions. Drug-drug interactions occur when the pharmacologic effect of a one drug is altered by the action of another drug, leading to unpredictable clinical effects such as adverse drug reactions. When several drugs are administered together, there might be a greater possibility of adverse drug reactions as one drug can increase or decrease the effect of another drug. It is thus crucial to identify drug-drug interactions, especially during drug development, when one needs to identify interactions between a new candidate drug and drugs that are already on the market.
Dataset statistics | |
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Nodes | 1514 |
Edges | 48514 |
Nodes in largest SCC | 1510 |
Fraction of nodes in largest SCC | 1.000000 |
Edges in largest SCC | 48512 |
Fraction of edges in largest SCC | 0.999959 |
Average clustering coefficient | 0.303968 |
Number of triangles | 5457046 |
Fraction of closed triangles | 0.104354 |
Diameter (longest shortest path) | 7 |
90-percentile effective diameter | 2.977804 |
Drug-drug interactions are extracted from drug labels and scientific publications.
File | Size | Description |
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ChCh-Miner_durgbank-chem-chem.tsv.gz | 1.5MB | Drug-drug interaction network (edgelist) |