Developing a Knowledge Graph for Pharmacokinetic Natural Product-Drug Interactions.

Journal: Journal of biomedical informatics
Published Date:

Abstract

BACKGROUND: Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical or other natural products are co-consumed with pharmaceutical drugs. With the growing use of natural products, the risk for potential NPDIs and consequent adverse events has increased. Understanding mechanisms of NPDIs is key to preventing or minimizing adverse events. Although biomedical knowledge graphs (KGs) have been widely used for drug-drug interaction applications, computational investigation of NPDIs is novel. We constructed NP-KG as a first step toward computational discovery of plausible mechanistic explanations for pharmacokinetic NPDIs that can be used to guide scientific research.

Authors

  • Sanya B Taneja
    Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States.
  • Tiffany J Callahan
    Computational Bioscience Program and Department of Pharmacology, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado 80045, USA.
  • Mary F Paine
    Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA 99202, USA.
  • Sandra L Kane-Gill
    School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15261, USA.
  • Halil Kilicoglu
    School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL 61820, United States.
  • Marcin P Joachimiak
    Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, California, USA.
  • Richard D Boyce
    Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.