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Table 4 The comparison of the proposed model with seven existing approaches (DBSI, KBMF2K, and NetCBP, and the model proposed by Yamanishi et al and Wang et al.) in terms of the AUC

From: A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network

Datasets

Enzymes

Ion channels

GPCRs

nucl. rec

DBSI

0.8075

0.8029

0.8022

0.7578

NetCBP

0.8251

0.8034

0.8235

0.8394

KBMF2K

0.832

0.799

0.857

0.824

Yamanishi et al.

0.904

0.851

0.899

0.843

0.892

0.812

0.827

0.835

Wang et al.

0.886

0.893

0.873

0.824

Our method

0.9951

0.9705

0.9951

0.9206