Table 5.
Overall performance of structure based and CBTOPE algorithms on benchmark dataset
| Evaluation parameter | ProMate | PSI-PRED best patch | Patch Dock best model |
ClusPro (DOT) best model | CEP | DiscoTope (-7.7) | CBTOPE* (This Study) |
|---|---|---|---|---|---|---|---|
| Sen* | 0.09 | 0.33 | 0.43 | 0.45 | 0.31 | 0.42 | 0.80 |
| 1-Spe | 0.08 | 0.14 | 0.11 | 0.07 | 0.22 | 0.21 | 0.15 |
| PPV | 0.10 | 0.19 | 0.26 | 0.39 | 0.11 | 0.16 | 0.31 |
| Acc | 0.84 | 0.82 | 0.85 | 0.89 | 0.74 | 0.75 | 0.84 |
| AUC | 0.51 | 0.60 | 0.66 | 0.69 | 0.54 | 0.60 | 0.89 |
*(Thr- Threshold, Sen - Sensitivity, Spe - Specificity, Acc - Accuracy, PPV - positive predictive value)