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Table 4 Cross-prediction prediction AUC (in%) of trained models, measured by using model trained for binding sites of one ligand to predict binding sites of the other ligands

From: Residue propensities, discrimination and binding site prediction of adenine and guanine phosphates

Tested

AMP

ADP

ATP

GMP

GDP

GTP

CAMP

PCG

Trained

        

AMP

100.00

73.27

74.89

72.83

75.11

76.30

75.37

62.88

ADP

81.12

100.00

86.22

72.81

80.34

77.64

73.64

74.48

ATP

85.34

86.38

100.00

73.94

78.16

78.63

73.23

74.70

GMP

73.13

70.02

71.14

100.00

74.21

71.24

75.00

61.32

GDP

75.57

75.58

73.94

85.16

100.00

80.93

70.28

70.56

GTP

74.45

74.29

74.09

67.32

83.31

100.00

66.69

59.67

CAMP

70.17

69.77

70.15

66.96

69.19

70.92

100.00

91.20

PCG

64.86

65.00

64.64

62.56

66.09

65.61

77.82

100.00

  1. Please note that all data of a given category was trained, allowing to over-learn on itself and hence self-prediction values (trained and test data being the same) for all models showed 100% correct predictions. This is in contrast to cross-validation performance results in Table 3.