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Table 8 The classification performances within the cold splitting settings

From: DLM-DTI: a dual language model for the prediction of drug-target interaction with hint-based learning

 

MolTrans

Kang et al.

DLM-DTI

AUROC

AUPRC

AUROC

AUPRC

AUROC

AUPRC

Cold Drug

0.853

0.562

0.884

0.617

0.850

0.584

Cold Target

0.841

0.668

0.855

0.716

0.789

0.527

Cold Binding

0.718

0.370

0.744

0.448

0.622

0.261

  1. Best performance is highlighted in bold