Drug Discovery On Lit Pcba Mapk1

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
TransformerCPI	0.683	TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments
EGT+TGT-At-DP	0.743	Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers	-
DGraphDTA	0.665	Drug–target affinity prediction using graph neural network and contact maps
GLAM	0.730	An adaptive graph learning method for automated molecular interactions and properties predictions

0 of 4 row(s) selected.