Advances in In-silico B-cell Epitope Prediction

(E-pub Ahead of Print)

Author(s): Pingping Sun, Sijia Guo, Jiahang Sun, Liming Tan , Chang Lu, Zhiqiang Ma*.

Journal Name: Current Topics in Medicinal Chemistry

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Abstract:

Identification of B-cell epitopes in target antigens is one of the most crucial steps for epitopebased vaccine development, immunodiagnostic tests, antibody production, and disease diagnosis and therapy. Experimental methods for B-cell epitope mapping are time consuming, costly and labor intensive; in the meantime, various in-silico methods are proposed to predict both linear and conformational B-cell epitopes. The accurate identification of B-cell epitopes presents major challenges for immunoinformaticians. In this paper, we have comprehensively reviewed in-silico methods for B-cell epitope identification. The aim of this review is to stimulatethe development of better tools which could improve the identification of B-cell epitopes, and further for the development of therapeutic antibodies and diagnostic tools.

Keywords: epitope prediction, linear epitope, conformational epitope

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1568026619666181130111827
Price: $95

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