Table 6.
Performance of all predictors in “per peptide” mode. The methods are tested against the Consensus_NR (Non_Redundant) data set.
| Predictor | SN% | SP% | ACC% | MCC |
|---|---|---|---|---|
| Consensus_noLBEEP | 48.39 | 58.81 | 54.14 | 0.0721 |
| Consensus_ALL | 27.15 | 78.73 | 55.59 | 0.0687 |
| BcePred | 22.21 | 79.85 | 53.99 | 0.0251 |
| ABCpred | 66.44 | 36.9 | 50.16 | 0.0348 |
| LBtope | 45.91 | 58.94 | 53.1 | 0.0488 |
| BepiPred-1.0 | 49.95 | 57.84 | 54.3 | 0.0778 |
| COBEpro | 58.63 | 45.67 | 51.49 | 0.0431 |
| SVMTriP | 16.21 | 85.87 | 54.62 | 0.0290 |
| LBEEP | 19.06 | 80.12 | 52.72 | −0.0103 |
SN: Sensitivity, SP: Specificity, ACC: Accuracy, MCC: Matthew’s Correlation Coefficient.