Could advances in representation learning in Artificial Intelligence provide the new paradigm for data integration in drug discovery?

Journal: Expert opinion on drug discovery
Published Date:

Abstract

No abstract available for this article.

Authors

  • Vinaya Vijayan
    a Computational Biology , GlaxoSmithKline R&D , Collegeville , PA , USA.
  • Andrew D Rouillard
    Department of Pharmacology and Systems Therapeutics, Department of Genetics and Genomic Sciences, BD2K-LINCS Data Coordination and Integration Center (DCIC), Mount Sinai's Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Deepak K Rajpal
    From the Department of Integrative Biology and Physiology, University of California, Los Angeles (Y.Z., Q.M., X.Y.); and Target Sciences Computational Biology (US), GSK, King of Prussia, PA (J.C., J.M.F., D.K.R.). xyang123@ucla.edu deepak.k.rajpal@gsk.com.
  • Pankaj Agarwal
    a Computational Biology , GlaxoSmithKline R&D , Collegeville , PA , USA.