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Table 7 AUC results for interaction prediction under validation setting CVS3

From: Drug–target interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization

Method

Datasets

E

IC

GPCR

NR

MGRNNM [11]

0.9683 (0.0043)

0.9541 (0.0019)

0.8975 (0.0093)

0.7502 (0.0285)

SMGRNNM [11]

0.9246 (0.0091)

0.9346 (0.0041)

0.8798 (0.0134)

0.7263 (0.0211)

MC[78]

0.5234 (0.0057)

0.4724 (0.0065)

0.5683 (0.0310)

0.3767 (0.0204)

MCG[79]

0.8065 (0.0012)

0.7871 (0.0069)

0.6289 (0.0151)

0.6522 (0.0297)

WGRMF [20]

0.9338 (0.0071)

0.9460 (0.0034)

0.8892 (0.0110)

0.7967 (0.0132)

WKNKN + L1,2-GRMF [77]

RLS-WNN[25]

0.9067 (0.0105)

0.9286 (0.0046)

0.8694 (0.0146)

0.8124 (0.0202)

CMF [35]

0.9272 (0.0050)

0.9368 (0.0032)

0.8966 (0.0073)

0.8373 (0.0083)

NRLMF [36]

0.966 (0.005)

0.964 (0.007)

0.930 (0.012)

0.851 (0.027)

TMF [28]

0.976 (0.001)

0.972 (0.002)

0.959 (0.007)

0.929 (0.029)

DDR [80]

0.92

0.97

0.93

0.88

Proposed method

0.9770 (0.0038)

0.9830 (0.0013)

0.9087 (0.0075)

0.7694 (0.0249)