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Multi-domain based heterogeneous network for drug-target interaction prediction
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DOI：10.1016/j.artmed.2026.103425.png)
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Abstract
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• A novel MHNF-DTI framework is proposed for DTI prediction. • The MHNF-DTI encodes drug structure and protein sequence simultaneously. • A multi-domain label reversal dataset is built to mitigate hidden ligand bias. • The performance of MHNF-DTI outperforms the existing state-of-the-art baselines.
Keywords:
Drug-target interaction
Heterogeneous network
Multi-domain learning
Deep learning
Computational biology
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