Nature Communications (Nov 2021)

A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

  • Qing Ye,
  • Chang-Yu Hsieh,
  • Ziyi Yang,
  • Yu Kang,
  • Jiming Chen,
  • Dongsheng Cao,
  • Shibo He,
  • Tingjun Hou

DOI
https://doi.org/10.1038/s41467-021-27137-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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Prediction of drug-target interactions (DTI) plays a vital role in drug development through applications in various areas, such as virtual screening for lead discovery, drug repurposing and identification of potential drug side effects. Here, the authors develop a unified framework for DTI prediction by combining a knowledge graph and a recommendation system.