Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology.

Journal: EBioMedicine
Published Date: Jun 18, 2020

Abstract

BACKGROUND: Adverse drug reactions (ADRs) are one of the leading causes of morbidity and mortality in health care. Understanding which drug targets are linked to ADRs can lead to the development of safer medicines.

Authors

  • Robert Ietswaart
    Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, United States. Electronic address: robert_ietswaart@hms.harvard.edu.
  • Seda Arat
    The Jackson Laboratory, Farmington, CT 06032, United States. Electronic address: seda8arat@gmail.com.
  • Amanda X Chen
    David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, United States; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
  • Saman Farahmand
    Computational Sciences PhD program, University of Massachusetts Boston, Boston, MA 02125, United States.
  • Bumjun Kim
    Department of Chemical Engineering, Northeastern University, Boston, MA 02115, United States.
  • William DuMouchel
    Oracle Health Sciences, Burlington, MA 01803, United States.
  • Duncan Armstrong
    Novartis Institutes for Biomedical Research, Cambridge, MA 02139, United States.
  • Alexander Fekete
    Novartis Institutes for Biomedical Research, Cambridge, MA 02139, United States.
  • Jeffrey J Sutherland
    Novartis Institutes for Biomedical Research, Cambridge, MA 02139, United States. Electronic address: jeffrey.sutherland@novartis.com.
  • Laszlo Urban
    Novartis Institutes for Biomedical Research, Cambridge, MA 02139, United States. Electronic address: laszlo.urban@novartis.com.

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