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
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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