In silico drug repositioning using deep learning and comprehensive similarity measures.

Journal: BMC bioinformatics
Published Date: Jun 1, 2021

Abstract

BACKGROUND: Drug repositioning, meanings finding new uses for existing drugs, which can accelerate the processing of new drugs research and development. Various computational methods have been presented to predict novel drug-disease associations for drug repositioning based on similarity measures among drugs and diseases. However, there are some known associations between drugs and diseases that previous studies not utilized.

Authors

  • Hai-Cheng Yi
    Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China. yihaicheng17@mails.ucas.ac.cn.
  • Zhu-Hong You
    Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China. zhuhongyou@ms.xjb.ac.cn.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Xiao-Rui Su
    The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China.
  • Xi Zhou
    George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
  • Tong-Hai Jiang

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