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Drug-drug interaction network

Dataset information

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
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.

References


Files

File Size Description
ChCh-Miner_durgbank-chem-chem.tsv.gz 1.5MB Drug-drug interaction network (edgelist)