Drug Discovery On Bindingdb

AUC

评测结果

各个模型在此基准测试上的表现结果

模型名称	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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