Drug Discovery On Lit Pcba Kat2A

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	Repository
DGraphDTA	0.633	Drug–target affinity prediction using graph neural network and contact maps	-
GLAM	0.709	An adaptive graph learning method for automated molecular interactions and properties predictions	-
EGT+TGT-At-DP	0.746	Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
TransformerCPI	0.650	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.