VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder

Identifying drug-target interaction (DTI) is crucial for drug discovery and repositioning. Biological identification of DTI is costly and time-consuming, so heterogeneous network methods for DTI prediction, which can speed up drug development, have drawn much attention. However, the scarcity of know...

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Veröffentlicht in:	Interdisciplinary sciences : computational life sciences
Hauptverfasser:	Zhang, Chen, Sun, Jiaqi, Xing, Linlin, Zhang, Longbo, Cai, Hongzhen, Che, Kai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany 21.08.2025
Schlagworte:	Drug-target interaction prediction Heterogeneous graph Variational inference Variational graph autoencoder
ISSN:	1913-2751, 1867-1462, 1867-1462
Online-Zugang:	Volltext
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