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Author

Wenjian Ma

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Sep 2026

Decoding Molecular Binding Equilibria through Uncertainty-Aware Memory Retrieval

While accurate drug-target affinity prediction accelerates drug discovery, prevailing deep learning approaches are often bottlenecked by poor generalization and an inability to quantify prediction confidence. Here, we introduce CogNet-DTA, a novel memory-augmented framework that synergizes historical binding priors w...

Huai-Bin Hang, Shun-Peng Pang, Wen-Sheng An et al. · 0 citations
Open access Sep 2026

Deciphering Mechanistic Signatures in Drug-Drug Interactions with Dual Topology Graphs

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. · 0 citations

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