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Table 7 Performance comparison of the general purpose and ligand-specific models of the TargetSeq method on the dataset of the 9 ligands by five-fold cross-validation

From: Protein ligand-specific binding residue predictions by an ensemble classifier

Ligand Type Model Type Accuracy (%) Sensitivity (%) Specificity (%) MCC
CU General 86.98 79.62 87.09 0.22
Specific 99.02 51.40 99.69 0.59
FE General 90.14 85.02 90.22 0.29
Specific 98.83 53.54 99.52 0.57
FE2 General 90.67 90.89 90.67 0.30
Specific 99.20 51.36 99.81 0.63
ZN General 88.50 74.29 88.66 0.27
Specific 99.01 41.78 99.68 0.50
SO4 General 85.85 55.29 86.50 0.17
Specific 97.79 10.07 99.66 0.19
PO4 General 86.38 71.73 86.66 0.23
Specific 97.29 27.86 98.63 0.27
ATP General 87.46 71.88 88.02 0.32
Specific 96.73 48.09 98.48 0.49
FMN General 88.24 76.68 88.83 0.40
Specific 96.39 66.56 97.92 0.62
HEME General 86.18 73.85 87.21 0.43
Specific 93.63 58.24 96.61 0.55
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