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Table 3 AUC results for interaction prediction under validation setting CVS1

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

Method

Datasets

E

IC

GPCR

NR

MGRNNM [11]

0.9955 (0.0003)

0.9947 (0.0004)

0.9785 (0.0020)

0.9660 (0.0056)

SMGRNNM [11]

0.9798 (0.0004)

0.9829 (0.0012)

0.9531 (0.0028)

0.9083 (0.0058)

MC [78]

0.9596 (0.0015)

0.9415 (0.0015)

0.8110 (0.0055)

0.5882 (0.0253)

MCG [79]

0.8753 (0.0023)

0.9539 (0.0010)

0.8977 (0.0047)

0.8315 (0.0165)

WGRMF [20]

0.9647 (0.0013)

0.9747 (0.0022)

0.9432 (0.0010)

0.8892 (0.0153)

WKNKN + L1,2-GRMF [77]

RLS-WNN [25]

0.9635 (0.0014)

0.9786 (0.0026)

0.9458 (0.0044)

0.9329 (0.0114)

CMF [35]

0.9705 (0.0013)

0.9832 (0.0008)

0.9493 (0.0031)

0.8679 (0.0124)

NRLMF [36]

0.987 (0.001)

0.989 (0.001)

0.969 (0.004)

0.950 (0.011)

TMF [28]

0.989 (0.001)

0.989 (0.001)

0.9830 (0.003)

0.978 (0.008)

DDR [80]

0.97

0.98

0.96

0.92

Proposed method

0.9941 (0.0008)

0.9958 (0.0005)

0.9832 (0.0022)

0.9698 (0.0062)