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Prediction of Human Microbe-Drug Association based on Layer Attention Graph Convolutional Network.

Jia QuJie NiTong-Guang NiZe-Kang BianJiu-Zhen Liang
Published in: Current medicinal chemistry (2024)
Traditional methods for microbe-drug association prediction are timeconsuming and laborious. Therefore, the computational model proposed was used to predict new microbe-drug associations. Several evaluation results have shown the proposed model to achieve satisfactory results and that it can play a role in drug development and precision medicine.
Keyphrases
  • endothelial cells
  • adverse drug
  • working memory
  • drug induced
  • emergency department
  • neural network
  • machine learning