Drug Discovery On Bindingdb

AUC

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	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

0 of 4 row(s) selected.