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. 2013 Oct 16;7 Suppl 3(Suppl 3):S4.
doi: 10.1186/1752-0509-7-S3-S4.

Interaction network among functional drug groups

Minho Lee, Keunwan Park, Dongsup Kim

Interaction network among functional drug groups

Minho Lee et al. BMC Syst Biol. .

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.

Conclusion: 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.

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Figures

Figure 1
Figure 1
Example of DG interactions, and prediction of new DDI.
Figure 2
Figure 2
Systematic DG-DG interaction network.
Figure 3
Figure 3
Schematic diagram representing the construction of secondary network based on interaction sharing ratio.
Figure 4
Figure 4
Secondary DG-DG network based on interaction sharing ratio.
Figure 5
Figure 5
Marginal feature-matching ratio for the interaction sharing drugs.
Figure 6
Figure 6
Drug feature-matching ratio according to the different structural similarity cut-offs.
See this image and copyright information in PMC

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