A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network.

Journal: BMC medical informatics and decision making
Published Date: Mar 18, 2020

Abstract

BACKGROUND: The key to modern drug discovery is to find, identify and prepare drug molecular targets. However, due to the influence of throughput, precision and cost, traditional experimental methods are difficult to be widely used to infer these potential Drug-Target Interactions (DTIs). Therefore, it is urgent to develop effective computational methods to validate the interaction between drugs and target.

Authors

  • Yan-Bin Wang
    Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Science, Urumqi 830011, China. zhuhongyou@ms.xjb.ac.cn xiaoli@ms.xjb.ac.cn.
  • Zhu-Hong You
    Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China. zhuhongyou@ms.xjb.ac.cn.
  • Shan Yang
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
  • Hai-Cheng Yi
    Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China. yihaicheng17@mails.ucas.ac.cn.
  • Zhan-Heng Chen
    Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Science, Urumqi, 830011, China.
  • Kai Zheng
    University of California, Irvine, Irvine, CA, USA.

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