Open access
Sep 2026
Drug-drug interactions (DDIs) represent a critical challenge in drug development and clinical practice, as they can lead to severe adverse effects, including toxicity and reduced therapeutic efficacy. Deep learning methods have shown promise in large-scale, rapid DDI prediction; however, current approaches suffer from...
Wen-Jian Ma, Xiang-Peng Bi, Hua-Sen Jiang et al.
· bioRxiv · 0 citations
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Aug 2026
DSC-BSite is proposed, a dynamic-static collaborative multimodal graph learning framework for residue-level binding site prediction that achieves competitive performance across multiple evaluation metrics, with particularly strong results in Recall on UniProtSMB and Precision and MCC on SJC.
Ming-Lei Dong, Dong-Jiang Niu, Yuan-Xing Peng et al.
· Molecular diversity · 0 citations
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Open access
Aug 2026
iSCALE serves as an effective in silico tool for large-scale protein-RNA binding ΔΔG prediction, which pushes the border of understanding in mutation-induced pathological outcomes.
Rui Chen, Xiao-Yu Huang, Hua-Sen Jiang et al.
· bioRxiv · 0 citations
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