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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
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BMC Bioinformatics

ISSN: 1471-2105

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