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PDBbind v2020 Refined Dataset
The PDBbind v2020 refined dataset is a widely used training dataset for protein-ligand binding affinity prediction. -
DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction
Accurate prediction of protein-ligand binding energies is a fundamental task in drug discovery workflow, as it directly influences the prioritization and optimization of... -
Binding MOAD
The dataset is used for compound-protein binding affinity prediction, and it contains 1963 compound-protein pairs.
