[Elsevier] Machine learning for drug-target interaction prediction: A comprehensive review of models, challenges, and computational strategies |
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TransDTAP: A multimodal transformer architecture for drug每target affinity prediction using sequence and biochemical properties
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Dupilumab-Induced Blood Eosinophilia in Patients With Chronic Rhinosinusitis With Nasal Polyps: Temporal Trends and Correlation With Adverse Events
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Protein language models for predicting drug每target interactions: Novel approaches, emerging methods, and future directions
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An artificial intelligence model for accurate drug-target affinity prediction in medicinal chemistry
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A bond-aware graph neural network integrated with docking, pharmacophore modeling and molecular dynamics for JAK2 inhibitors affinity prediction
