MGACL: Prediction Drug–Protein Interaction Based on Meta-Graph Association-Aware Contrastive Learning

MGACL: Prediction Drug–Protein Interaction Based on Meta-Graph Association-Aware Contrastive Learning

The identification of drug–target interaction (DTI) is crucial for drug discovery. However, how to reduce the graph neural network’s false positives due to its bias and negative transfer in the original bipartite graph remains to be clarified. Considering that the impact of heterogeneous auxiliary i...

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Bibliographic Details
Main Authors: Pinglu Zhang, Peng Lin, Dehai Li, Wanchun Wang, Xin Qi, Jing Li, Jianshe Xiong
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Biomolecules
Subjects:
drug–target interaction
graph neural networks
contrastive learning
heterogeneous graph representation
Online Access:https://www.mdpi.com/2218-273X/14/10/1267
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