HGDTI: predicting drug-target interaction by using information aggregation based on heterogeneous graph neural network.

Journal: BMC bioinformatics
Published Date: Apr 12, 2022

Abstract

BACKGROUND: In research on new drug discovery, the traditional wet experiment has a long period. Predicting drug-target interaction (DTI) in silico can greatly narrow the scope of search of candidate medications. Excellent algorithm model may be more effective in revealing the potential connection between drug and target in the bioinformatics network composed of drugs, proteins and other related data.

Authors

  • Liyi Yu
    School of Information Engineering, Jingdezhen Ceramic Institute, Jingdezhen, China.
  • Wangren Qiu
    Computer Department, Jingdezhen Ceramic Institute, Jingdezhen 333046, China.
  • Weizhong Lin
    School of Information Engineering, Jingdezhen Ceramic Institute, Jingdezhen, China.
  • Xiang Cheng
    Computer Department, Jingdezhen Ceramic Institute, Jingdezhen, China.
  • Xuan Xiao
    Computer Department, Jingdezhen Ceramic Institute, Jingdezhen 333046, China.
  • Jiexia Dai
    School of Foreign Languages, Jingdezhen University, Jingdezhen, China.

Keywords

External Resources

Popular Topics
Recent Journals