Author

Khadidja Henni

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#artificial intelligence Preprint Sep 2026

Drug-Target Interaction Prediction via Hierarchical Sequential Cross-Attention over Chemical and Protein Language Models

Predicting Drug-Target Interactions~(DTIs) is a central task in computational drug discovery, with direct applications in virtual screening, drug repurposing, and therapeutic candidate prioritization. Although recent deep learning methods have improved DTI prediction, many sequence-based models still process drugs and...

Khadidja Henni, Hamza Abdelali, Abdelkrim Aries et al. · 0 citations

#artificial intelligence Preprint Sep 2026

BERT4DTI : BERT-based Model for Predicting Drug-Protein Interactions

Understanding how drugs interact with protein targets is fundamental to drug discovery, drug repurposing and the early identification of promising therapeutic candidates before costly experimental testing. Sequence-based DTI models face three practical limitations: labelled interactions are scarce and unevenly distribu...

Thanina Hamitouch, Khadidja Henni, Abdelkrim Arie et al. · 0 citations