Background: B-cell epitope prediction is an essential tool for a variety of
immunological studies. For identifying such epitopes, several computational predictors have been
proposed in the past 10 years.
Objective: In this review, we summarized the representative computational approaches developed
for the identification of linear B-cell epitopes.
Methods: We mainly discuss the datasets, feature extraction methods and classification methods
used in the previous work.
Results: The performance of the existing methods was not very satisfying, and so more effective
approaches should be proposed by considering the structural information of proteins.
Conclusion: We consider existing challenges and future perspectives for developing reliable
methods for predicting linear B-cell epitopes.