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Table 1 The detailed performance for the four protein families on both Dataset1 and Dataset2 by 10-fold cross validation

From: Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks

Type

 

Acc

Sen

Pre

F1

AUC

Enzymes

Dataset1

0.943

0.927

0.903

0.915

0.985

 

Dataset2

0.920

0.881

0.880

0.881

0.973

Ion channels

Dataset1

0.919

0.894

0.867

0.881

0.970

 

Dataset2

0.900

0.948

0.792

0.863

0.949

GPCRs

Dataset1

0.884

0.818

0.831

0.824

0.945

 

Dataset2

0.920

0.899

0.866

0.882

0.968

Nuclear receptors

Dataset1

0.884

0.872

0.798

0.833

0.936

 

Dataset2

0.907

0.891

0.841

0.865

0.966

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BMC Bioinformatics

ISSN: 1471-2105

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