targetRW: Predicting pharmacodynamic drug-drug interactions using interference of signaling propagation through protein-protein interaction network

 

Input the DrugBank ID or Drug generic names (e.g., DB00209, DB00363, Tramadol, Amitriptyline).

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Abstracts

Pharmacodynamic drug-drug interactions (PD DDIs) could lead to adverse effects in patients. Therefore, identifying PD DDIs in drug development is important. To predict possible PD DDIs, we thought that the pharmacodynamics of drugs should be considered. The signaling starting from drug targets is propagated through a protein-protein interaction (PPI) network. However, previous approaches have used the distance and sub-network between drug targets in the PPI network. In this study, the signaling propagation of drug targets is measured by using a random walk with restart algorithm. We calculated the interference of the signaling propagation between drugs for predicting PD DDIs. Our method outperformed previous methods as evaluated by using PD DDIs from DrugBank and KEGG DRUG. In addition, our method achieved good performance in various drug categories according to the single/multi-target drugs or Anatomical Therapeutic Chemical codes. From the result, we suggest that our method could be used to predict and prevent potential PD DDIs in drug development.