Table 1 Linear B-cell epitope prediction performance of various methods
From: Deep learning methods improve linear B-cell epitope prediction
Method | Performance (AUC values) on datasets | |||||||
|---|---|---|---|---|---|---|---|---|
IEDB16 | IEDB18 | IEDB20 | IEDB22 | IEDB31 | IEDB38 | Lbtope_Fixed | ABCpred16 | |
AAPpred_svm1 | NA | NA | 50.26 | NA | NA | NA | 53.01 | NA |
AAPpred_svm2 | NA | NA | 52.05 | NA | NA | NA | 53.83 | NA |
ABCpred | 51.41 | 51.33 | 53.19 | NA | NA | NA | 51.54 | 55.29 |
APCpred | 62.42 | 37.63 | 48.43 | NA | NA | NA | 51.01 | 61.19 |
Bepipred1.0 | 51.22 | 51.03 | 50.61 | 52.18 | 51.4 | 50.32 | 55.79 | 61.88 |
Bepipred2.0 | 51.89 | 52.10 | 51.26 | 52.8 | 54.02 | 53.85 | 53.23 | 55.33 |
DLBEpitope | 88.80 | 89.98 | 90.85 | 91.58 | 93.95 | 95.68 | 73.83 | 65.5 |