Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships

HIGHLIGHTS

• who: Li-Ping Kang and collaborators from the Provincial University (KF2020003), and the XMUT Xiamen, China, Department of Automation, Xiamen University, Xiamen, China have published the article: Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships, in the Journal: PLOS ONE of 16/05/2022
• what: To address this limitation the authors propose a multitype drug interaction prediction method based on the deep fusion of drug features and topological relationships abbreviated DM-DDI. The authors introduce how to calculate the similarity of drugs using the chemical structure as an . . .
  

   

  

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