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Author

Deng Pan

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Open access Aug 2026

A hybrid high activity aware framework integrating graph attention network and transformer for half maximal inhibitory concentration prediction

Experimental results demonstrate that HGATT outperforms not only individual graph neural network (GNN)- and machine learning-based models but also other related drug-target prediction methods and baseline regression approaches, exhibiting superior predictive accuracy.

D. Ban, Lu Pan, Xue-Li Zhang et al. · 0 citations
Jul 2026

A Structure-Aware Multimodal Framework for Drug–Target Interaction Prediction via Heterogeneous Graph Learning

Predicting drug–target interactions is critical for drug discovery, yet many deep learning methods overlook atom–residue–level relationships, so PHGDTI is proposed, a multimodal framework that integrates sequence and structural cues for binding prediction.

Hua Qian, Deng Pan, Liangpeng Nie et al. · 0 citations

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