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Table 5 AUC results for interaction prediction under validation setting CVS2

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

Method

Datasets

E

IC

GPCR

NR

MGRNNM [11]

0.9460 (0.0033)

0.9714 (0.0095)

0.9567 (0.0084)

0.9533 (0.0127)

SMGRNNM [11]

0.8260 (0.0108)

0.7913 (0.0090)

0.8805 (0.0024)

0.8452 (0.0215)

MC [78]

0.5060 (0.0090)

0.5512 (0.0034)

0.5855 (0.0039)

0.5294 (0.0200)

MCG [79]

0.7413 (0.0118)

0.7196 (0.0071)

0.7745 (0.0027)

0.6992 (0.0244)

WGRMF [20]

0.7982 (0.0144)

0.7902 (0.0149)

0.8800 (0.0025)

0.8615 (0.0244)

WKNKN + L1,2-GRMF [77]

RLS-WNN [25]

0.7755 (0.0093)

0.7669 (0.0140)

0.8524 (0.0072)

0.8390 (0.0261)

CMF [35]

0.7952 (0.0110)

0.7576 (0.0125)

0.8067 (0.0067)

0.8124 (0.0228)

NRLMF [36]

0.871 (0.017)

0.813 (0.027)

0.895 (0.011)

0.900 (0.021)

TMF [28]

0.843 (0.012)

0.819 (0.011)

0.882 (0.009)

0.886 (0.017)

DDR [80]

0.84

0.94

0.91

0.90

Proposed method

0.9518 (0.0033)

0.9682 (0.0078)

0.9600 (0.0075)

0.9663 (0.105)