title: Interaction network among functional drug groups.
abstract: BACKGROUND
  More attention has been being paid to combinatorial effects of drugs to treat complex diseases or to avoid adverse combinations of drug cocktail. Although drug interaction information has been increasingly accumulated, a novel approach like network-based method is needed to analyse that information systematically and intuitively
  
  
  RESULTS
  Beyond focussing on drug-drug interactions, we examined interactions between functional drug groups. In this work, functional drug groups were defined based on the Anatomical Therapeutic Chemical (ATC) Classification System. We defined criteria whether two functional drug groups are related. Then we constructed the interaction network of drug groups. The resulting network provides intuitive interpretations. We further constructed another network based on interaction sharing ratio of the first network. Subsequent analysis of the networks showed that some features of drugs can be well described by this kind of interaction even for the case of structurally dissimilar drugs.
  
  
  CONCLUSIONS
  Our networks in this work provide intuitive insights into interactions among drug groups rather than those among single drugs. In addition, information on these interactions can be used as a useful source to describe mechanisms and features of drugs.
authors.forename: Minho
authors.initials: M
authors.lastname: Lee
authors.forename: Keunwan
authors.initials: K
authors.lastname: Park
authors.forename: Dongsup
authors.initials: D
authors.lastname: Kim
mesh_terms: D062313:Databases, Pharmaceutical; D004347:Drug Interactions; D064420:Drug-Related Side Effects and Adverse Reactions; D049490:Systems Biology / Q000379:methods*