Novel Neural Network Approach to Predict Drug-Target Interactions Based on Drug Side Effects and Genome-Wide Association Studies.

Journal: Human heredity
Published Date: Oct 22, 2018

Abstract

AIMS: We propose a novel machine learning approach to expand the knowledge about drug-target interactions. Our method may help to develop effective, less harmful treatment strategies and to enable the detection of novel indications for existing drugs.

Authors

  • Jeanette Prinz
    Department of Health Sciences Research and Center for Individualized Medicine, Mayo Clinic, Scottsdale, Arizona, USA.
  • Mohamad Koohi-Moghadam
    Department of Health Sciences Research and Center for Individualized Medicine, Mayo Clinic, Scottsdale, Arizona, USA.
  • Hongzhe Sun
    Department of Chemistry, The University of Hong Kong, Hong Kong, SAR, China.
  • Jean-Pierre A Kocher
    Department of Health Sciences Research and Center for Individualized Medicine, Mayo Clinic, Scottsdale, Arizona, USA.
  • Junwen Wang
    Department of Health Sciences Research and Center for Individualized Medicine, Mayo Clinic, Scottsdale, Arizona, USAWang.Junwen@mayo.edu.

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