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Current Topics in Medicinal Chemistry

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ISSN (Print): 1568-0266
ISSN (Online): 1873-4294

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Review Article

Advances in In-silico B-cell Epitope Prediction

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

Volume 19, Issue 2, 2019

Page: [105 - 115] Pages: 11

DOI: 10.2174/1568026619666181130111827

Price: $65

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 stimulate the 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, BCR, B-cell, Epitope.

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