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Table 3 Results on the Biosnap dataset in the DDI task

From: MCL-DTI: using drug multimodal information and bi-directional cross-attention learning method for predicting drug–target interaction

Dataset

Method

ROC–AUC

PR–AUC

F1

Biosnap

LR

0.802 ± 0.001

0.779 ± 0.001

0.741 ± 0.002

Nat.Port

0.853 ± 0.001

0.848 ± 0.001

0.714 ± 0.001

Mol2Vec

0.879 ± 0.006

0.861 ± 0.005

0.798 ± 0.007

MolVAE

0.892 ± 0.009

0.877 ± 0.009

0.788 ± 0.033

DeepDDI

0.886 ± 0.007

0.871 ± 0.007

0.817 ± 0.007

Caster

0.910 ± 0.005

0.887 ± 0.008

0.843 ± 0.005

MCL-DDI

0.996 ± 0.001

0.994 ± 0.001

0.986 ± 0.002

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BMC Bioinformatics

ISSN: 1471-2105

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