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Table 2 Comparison with other machine learning methods on GPCRs classes

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

Methods

Acc

Sen

Pre

F1

AUC

Our model

0.920

0.899

0.866

0.882

0.968

KNN

0.830

0.852

0.703

0.770

0.897

Random Forests

0.912

0.856

0.878

0.867

0.958

  1. The highest values are highlighted in bold
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BMC Bioinformatics

ISSN: 1471-2105

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