Table 1 Prediction accuracies, sensitivities, specificities, AUC values and Matthew’s correlation coefficients (MCC) between the evaluated tools.

From: NIPS, a 3D network-integrated predictor of deleterious protein SAPs, and its application in cancer prognosis

Tool

Accuracy

Sensitivity

Specificity

AUC

MCC

NIPS

88.6%

86.7%

89.4%

0.93

0.73

CHASM

87.1%

74.6%

92.2%

0.92

0.73

PPh2

71.6%

69.2%

72.5%

0.85

0.50

SIFT

73.6%

66.9%

76.1%

0.82

0.47

LogRE

24.5%

63.7%

8.8%

0.65

0.07

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