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Table 3 Independent test performance (data set S238) of three currently available methods, our previous work, the single-model method, and the three methods with multiple models.

From: Feature-based multiple models improve classification of mutation-induced stability changes

Method

AUC

MCC

Q2

Se

Sp

PPV

NPV

MUpro

0.65

0.24

79.41

28.89

91.19

43.33

84.62

MuStab

0.67

0.26

77.31

40.00

86.01

40.00

86.01

I-Mutant2.0

0.70

0.27

65.97

68.89

65.28

31.63

90.00

EASE-AA

0.83

0.45

82.35

60.00

87.56

52.94

90.37

EASE-AA2

0.72

0.36

82.77

35.56

93.78

57.14

86.19

EASE-ASA

0.81

0.43

83.19

51.11

90.67

56.10

88.83

EASE-SS

0.82

0.48

83.19

62.22

88.08

54.90

90.91

EASE-MM

0.85

0.47

81.09

68.89

83.94

50.00

92.05

  1. EASE-MM is a consensus method of EASE-ASA and EASE-SS