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Table 2 Performance of the proposed sequence-based methods on the 9 types of ligands over five-fold cross-validation and comparison with S-SITE

From: Protein ligand-specific binding residue predictions by an ensemble classifier

Ligand

w a

Method

Accuracy (%)

Sensitivity (%)

Specificity (%)

MCC

CU

15

TargetSeq

99.02

51.40

99.69

0.59

S-SITE

97.98

60.37

98.50

0.46

FE

9

TargetSeq

98.83

53.54

99.52

0.57

S-SITE

96.93

59.55

97.49

0.38

FE2

9

TargetSeq

99.20

51.36

99.81

0.63

S-SITE

98.28

42.14

99.00

0.37

ZN

11

TargetSeq

99.01

41.78

99.68

0.50

S-SITE

97.71

56.43

98.20

0.38

SO4

13

TargetSeq

97.79

10.07

99.66

0.19

S-SITE

96.98

14.4

98.73

0.15

PO4

7

TargetSeq

98.09

20.18

99.59

0.31

S-SITE

97.29

27.86

98.63

0.27

ATP

19

TargetSeq

97.14

36.81

99.31

0.48

S-SITE

96.73

48.09

98.48

0.49

FMN

17

TargetSeq

97.23

56.59

99.32

0.66

S-SITE

96.39

66.56

97.92

0.62

HEME

17

TargetSeq

92.62

61.27

95.26

0.53

S-SITE

93.63

58.24

96.61

0.55

  1. aThe optimal window length