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Table 6 Comparison of DEBT with other turn/non-turn prediction methods on three different datasets.

From: Predicting β-turns and their types using predicted backbone dihedral angles and secondary structures

Dataset

β-turn predictor

MCC

Q total (%)

Q pred (%)

Q obs (%)

GR426

DEBT

0.48

79.2

54.8

70.1

 

Zheng and Kurgan [34]

0.47

80.9

62.7

55.6

 

Hu and Li [37]

0.47

79.8

55.6

68.9

 

Zhang et al. [35]

0.45

77.3

53.1

67.0

 

BTSVM [36]

0.45

78.7

56.0

62.0

 

MOLEBRNN [32]

0.45

77.9

53.9

66.0

 

BETAPRED2 [31]

0.43

75.5

49.8

72.3

 

COUDES [28]

0.42

74.8

48.8

69.9

 

Kim [38]

0.40

75.0

46.5

66.7

 

BTPRED [30]

0.35

74.4

48.3

57.3

FA547

DEBT

0.49

80.0

55.9

68.7

 

Zheng and Kurgan [34]

0.45

80.5

61.6

54.2

 

COUDES [28]

0.42

74.6

48.7

70.4

 

Hu and Li [37]

0.43

76.6

47.6

70.2

FA823

DEBT

0.48

80.9

55.9

66.1

 

Zheng and Kurgan [34]

0.45

80.6

60.8

54.6

 

COUDES [28]

0.41

74.2

47.5

69.6

 

Hu and Li [37]

0.45

76.8

53.0

72.3

  1. The methods are sorted by their reported MCC score. DEBT achieves the highest value on all datasets.