A Multi-Feature and Dual-Attribute Interaction Aggregation Model for Predicting Drug-Target Interactions

Discovering potential drug-target interactions is crucial for advancing pharmacology. In recent years, the development of large-scale DTI datasets has propelled advancements in DTI prediction computational methods. Various deep learning approaches for interaction prediction often rely on sequence da...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Yuandong Liu, Haoqin Yang, Longbo Zhang, Hongzhen Cai, Maozu Guo, Linlin Xing
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2024-01-01
Σειρά:	IEEE Access
Θέματα:	Drug target interaction self-attention network dual-weight mapping network multi-feature joint attention
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/10634547/
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