Drug Discovery On Lit Pcba Aldh1

AUC

Results

Performance results of various models on this benchmark

Model Name	AUC	Paper Title
TransformerCPI	0.694	TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments
DGraphDTA	0.679	Drug–target affinity prediction using graph neural network and contact maps
GLAM	0.761	An adaptive graph learning method for automated molecular interactions and properties predictions
EGT+TGT-At-DP	0.806	Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers

0 of 4 row(s) selected.