Table 7 Comparison to other protein disorder predictors over VSL2 training dataset via 10-fold cross-validation. Predictions by VSL2B, VSL2P and VSL2 were made via the 10-fold cross-validation procedure, while other predictors were applied to the 1,327 sequences directly. Default thresholds were used for all predictors, e.g. 0.5 for VL-XT, VL3-E, VSL1, VSL2B, VSL2P and VSL2. Also shown are the areas under ROC curves (AUC) in Figure 5.

58.6 ± 1.3

78.6 ± 0.4

68.6 ± 0.7

56.3 ± 1.6

63.5 ± 2.1

75.7 ± 0.8

38.7 ± 1.6

92.7 ± 0.5

65.7 ± 0.8

23.5 ± 1.6

82.5 ± 2.2

76.0 ± 0.8

31.4 ± 1.4

97.8 ± 0.1

64.6 ± 0.7

30.5 ± 1.6

32.8 ± 2.2

84.5 ± 0.6

45.8 ± 1.4

87.0 ± 0.4

66.4 ± 0.7

39.6 ± 1.7

63.0 ± 2.3

72.2 ± 0.9

56.9 ± 1.3

94.1 ± 0.2

75.5 ± 0.7

56.5 ± 1.6

55.1 ± 2.4

85.7 ± 0.6

79.0 ± 1.1

85.3 ± 0.4

82.2 ± 0.6

78.0 ± 1.3

78.1 ± 2.0

89.9 ± 0.6

77.3 ± 1.1

79.9 ± 0.4

78.6 ± 0.6

75.8 ± 1.3

78.2 ± 1.9

86.0 ± 0.6

81.0 ± 1.0

80.4 ± 0.5

80.7 ± 0.6

79.8 ± 1.2

80.9 ± 1.9

88.0 ± 0.6

82.3 ± 1.1

81.0 ± 0.5

81.6 ± 0.5

81.3 ± 1.2

82.3 ± 1.8

89.2 ± 0.5

(a) per-chain

SN

SP

ACC

SN _S

SN _L

AUC

58.9 ± 1.7

79.2 ± 0.3

69.0 ± 0.9

51.4 ± 1.7

61.6 ± 2.2

75.7 ± 1.2

70.4 ± 3.1

94.5 ± 0.4

82.5 ± 1.6

27.2 ± 1.9

85.7 ± 2.7

90.9 ± 1.0

32.5 ± 2.0

98.2 ± 0.1

65.4 ± 1.0

28.7 ± 1.5

33.9 ± 2.7

80.0 ± 1.1

61.1 ± 2.9

87.6 ± 0.3

74.4 ± 1.5

42.7 ± 1.9

67.6 ± 3.3

81.5 ± 1.5

60.2 ± 3.7

95.1 ± 0.2

77.6 ± 1.8

50.1 ± 1.7

63.7 ± 4.6

87.7 ± 1.2

78.1 ± 2.3

86.7 ± 0.3

82.4 ± 1.2

71.4 ± 1.5

80.4 ± 2.9

90.3 ± 1.0

77.0 ± 2.2

81.5 ± 0.3

79.3 ± 1.1

67.6 ± 1.6

80.4 ± 2.7

87.1 ± 1.2

81.7 ± 2.2

82.2 ± 0.4

81.9 ± 1.1

75.6 ± 1.5

83.8 ± 2.7

89.8 ± 1.2

82.9 ± 2.1

81.6 ± 0.4

82.3 ± 1.1

77.6 ± 1.4

84.7 ± 2.7

90.5 ± 1.1

(b) per-residue