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

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

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