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bindingdb

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A comparative and ablation study exploring different models for protein-ligand binding affinity prediction. The model categories studied in this project include traditional machine learning, graph neural networks, and structural deep learning models.

  • Updated Jul 18, 2026
  • Jupyter Notebook

Leakage-aware ML pipeline predicting protein-ligand binding affinity for ageing-nominated targets: ChEMBL + BindingDB harmonisation, scaffold/cluster/temporal splits, explicit leakage audit, and conformal uncertainty.

  • Updated Jun 24, 2026
  • Python

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