Formalizing knowledge and evidence about potential drug-drug interactions

Jodi Schneider, Mathias Brochhausen, Samuel Rosko, Paolo Ciccarese, William R. Hogan, Daniel Malone, Yifan Ning, Tim Clark, Richard D. Boyce

Research output: Contribution to journalConference articlepeer-review


Potential drug-drug interactions (PDDI) are a significant source of preventable drug-related harm. One contributing factor is that there is no standard way to represent PDDI knowledge claims and asso-ciated evidence in a computable form. The research we present in this paper addresses this problem by creating a new version of the Drug In-teraction Knowledge Base, with scalable, interlinkable repositories for PDDI evidence and PDDI knowledge claims.


  • Drug-drug interactions
  • Evidence bases
  • Knowledge bases
  • Linked data
  • Mi-cropublications
  • Nanopublications

ASJC Scopus subject areas

  • General Computer Science


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