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 |