Dfinder: a novel end-to-end graph embedding-based method to identify drug-food interactions

HIGHLIGHTS

• who: Bioinformatics and colleagues from the School of Computer Science, Northwestern Polytechnical University, Xi`an, China and Key Laboratory of Big Data Storage have published the paper: DFinder: a novel end-to-end graph embedding-based method to identify drug-food interactions, in the Journal: (JOURNAL)
• what: The authors propose method named identify DFIs. combines node attribute features and topological structure features learn the representations of drugs and food constituents. Several studies (Bushra et_al, 2011; Schmidt and Dalhoff, 2002) have demonstrated that food can increase or decrease the activity of drugs or even cause adverse . . .
  

   

  

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