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Table 4 The performance of different epitope prediction servers, estimated by the AUC score and evaluated on the S19 test set

From: SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequence

Category Method AUC
Sequence- based Ensemblebound [52] 0.579
Zhangbound [45] 0.600
Zhangunbound [45] 0.601
Ensembleunbound [52] 0.604
CBTOPE [74] 0.607
SEPIa 0.646
Structure-based EPCES [75] 0.569
EPITOPIA [41] 0.572
DiscoTope [34] 0.579
BPredictor [43] 0.587
SEPPA [39] 0.589
EPSVR [42] 0.606
  1. The largest score is indicated in bold