Drug Discovery On Bindingdb

AUC

Results

Performance results of various models on this benchmark

Model Name	AUC	Paper Title
DGraphDTA	0.921	Drug–target affinity prediction using graph neural network and contact maps
AttentionSiteDTI	0.9717	AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification
GLAM	0.954	An adaptive graph learning method for automated molecular interactions and properties predictions
TransformerCPI	0.937	TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

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