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Table 1 Performance of structure-based classifiers on main dataset

From: HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information

Feature

Recall (%)

Precision (%)

Accuracy (%)

F1-score (%)

MCC

DPX

73.28

22.81

62.97

34.77

0.239

RASA

70.52

28.64

72.36

40.70

0.313

CX

77.25

28.21

70.47

41.29

0.330

PSSM

74.55

29.88

72.98

42.64

0.342

RASA+DPX

76.69

27.82

70.03

40.79

0.323

PSSM+CX

75.66

31.11

74.10

44.04

0.361

PSSM+RASA

75.54

31.24

74.24

44.15

0.362

DPX+CX

80.56

30.40

72.53

44.11

0.370

PSSM+DPX

76.64

33.19

75.98

46.25

0.388

RASA+CX

75.97

33.68

76.64

46.66

0.391

PSSM+RASA+CX

76.11

31.90

74.80

44.89

0.371

RASA+DPX+CX

80.61

32.26

74.62

46.07

0.392

PSSM+RASA+DPX

76.90

33.87

76.54

46.94

0.396

PSSM+DPX+CX

78.81

33.64

76.15

47.10

0.401

PSSM+RASA+DPX+CX

79.08

34.07

76.49

47.56

0.407