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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.