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Table 3 Performance of binary profile-based SVM method

From: In silico approaches for designing highly effective cell penetrating peptides

Method

CPPsite-1 dataset

CPPsite-2 dataset

CPPsite-3 dataset

Sn

Sp

AC

MCC

ROC

Sn

Sp

AC

MCC

ROC

Sn

Sp

AC

MCC

ROC

N5

80.08

85.73

82.91

0.66

0.89

86.63

87.17

86.90

0.74

0.90

62.03

65.78

63.90

0.28

0.64

C5

84.60

82.20

83.40

0.67

0.91

91.44

82.35

86.90

0.74

0.95

64.17

67.38

65.78

0.32

0.66

N5-C5

83.19

88.98

86.09

0.72

0.96

91.98

82.35

87.17

0.75

0.95

66.84

66.84

66.84

0.34

0.69

N10

83.95

86.19

85.03

0.70

0.91

89.44

90.34

89.87

0.80

0.95

66.67

63.27

65.05

0.30

0.65

C10

86.55

83.22

84.95

0.70

0.93

87.04

91.10

88.96

0.78

0.95

66.05

61.90

64.08

0.28

0.68

N10-C10

90.60

86.89

88.81

0.78

0.95

93.21

93.84

93.51

0.87

0.96

66.67

64.63

65.70

0.31

0.68

  1. Sn: sensitivity, Sp: specificity, AC: accuracy.