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Table 3 Performance of various Fingerprints and selection-algorithm

From: DrugMint: a webserver for predicting and designing of drug-like molecules

Fingerprints

Selection-algorithm

Descriptors

Threshold

Sensitivity

Specificity

Accuracy

MCC

AUC

Estate

rm-useless

52

0

70.23

80.6

77.53

0.49

0.82

cfsSubsetEval

9

0.3

70.9

71.68

71.45

0.4

0.77

Extended

rm-useless

1012

0

62.44

92.51

83.62

0.59

0.86

cfsSubsetEval

25

−0.4

60.13

85.93

78.3

0.47

0.79

Fingerprinter

rm-useless

1024

0

61.99

92.36

83.37

0.58

0.86

cfsSubsetEval

40

−0.2

63.62

85.84

79.27

0.5

0.81

GraphsOnly

rm-useless

1024

0

67.78

86.28

80.8

0.54

0.85

cfsSubsetEval

43

0

69.86

73.71

72.57

0.41

0.78

Pubchem

rm-useless

704

0

63.85

92.11

83.75

0.59

0.87

cfsSubsetEval

27

0.4

66.59

79.76

75.86

0.45

0.8

MACCS

rm-useless

159

0

88.42

90.61

89.96

0.77

0.95

cfsSubsetEval

10

0

89.83

81.72

84.12

0.67

0.87

Substr-count

rm-useless

192

0

93.1

87.84

89.39

0.77

0.95

cfsSubsetEval

16

−0.3

84.71

78.32

80.21

0.59

0.88

Sub-finger

rm-useless

192

0

76.32

78.45

77.82

0.52

0.84

cfsSubsetEval

18

0

50.71

84.44

74.46

0.37

0.74

Klekota-count

rm-useless

2273

−0.2

63.92

90.42

82.58

0.57

0.85

cfsSubsetEval

57

0

72.31

80.82

78.3

0.51

0.82

Klekota-finger

rm-useless

2273

0

61.84

92.89

83.7

0.59

0.86

 

cfsSubsetEval

51

0

53.75

91.98

80.67

0.51

0.81