An Ensemble Learning-Based Method for Inferring Drug-Target Interactions Combining Protein Sequences and Drug Fingerprints

Table 7

The comparison of AUC values obtained by the proposed model and other advanced model on four benchmark data sets.

Model	Enzyme	Ion channel	GPCRs	Nuclear receptor
MLCLE	0.842	0.795	0.850	0.790
NetCBP	0.8251	0.8034	0.8235	0.8394
SIMCOMP	0.863	0.776	0.867	0.856
WNN-GIP	0.861	0.775	0.872	0.839
AM-PSSM	0.843	0.722	0.839	0.767
NetLapRLS	0.9013	0.9165	0.7711	0.6772
MSCMF	0.9142	0.776	0.867	0.856
Bigram-PSSM	0.948	0.889	0.872	0.869
Our method	0.9509	0.9284	0.9040	0.8486