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The Computational Prediction Methods for Linear B-cell Epitopes

Author(s):

Cangzhi Jia* and Hongyan Gong  

Abstract:


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. In this review, we summarized the representative computational approaches developed for the identification of linear B-cell epitopes. We mainly discuss the datasets, feature extraction methods and classification methods used in previous work. Moreover, we consider existing challenges and future perspectives for developing reliable methods for predicting linear B-cell epitopes.

Keywords:

linear B-cell epitopes, machine learning, bioinformatics, feature extraction

Affiliation:

Department of Mathematics, Dalian Maritime University, No. 1 Linghai Road, Dalian 116026, Department of Mathematics, Dalian Maritime University, No. 1 Linghai Road, Dalian 116026



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