Table 3.
Prediction results of PLB-SAVE, SiteHound and MPK2 using the HOLO dataset.
| HOLO Dataset | PLB-SAVE (374 proteins) | SiteHound (374 proteins) |
|---|---|---|
| Sensitivity | 0.623 | 0.538 |
| Specificity | 0.975 | 0.975 |
| Accuracy | 0.953 | 0.952 |
| PPV | 0.629 | 0.625 |
| MCC | 0.589 | 0.585 |
| (a) | ||
| HOLO Dataset | PLB-SAVE (339 proteins) | MPK2 (339 proteins) |
| Sensitivity | 0.642 | 0.806 |
| Specificity | 0.973 | 0.875 |
| Accuracy | 0.949 | 0.870 |
| PPV | 0.642 | 0.465 |
| MCC | 0.603 | 0.561 |
| (b) | ||
Calculations were performed only on proteins whose binding regions had been successfully predicted by SiteHound and MPK2. Numbers in bold indicate which software gave the better performance for each parameter. (a) PLB-SAVE compared with SiteHound using 374 proteins. (b) PLB-SAVE compared with MPK2 with using 339 proteins.