Drug Discovery On Lit Pcba Mapk1

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	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

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