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Advances in In-silico B-cell Epitope Prediction

Pingping Sun1,2,3, Sijia Guo1,2,3, Jiahang Sun1,2,3

  • 1School of Information Science and Technology, Northeast Normal University, Changchun 130117, China.

Current Topics in Medicinal Chemistry
|December 1, 2018
PubMed

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:
B-cellBCRConformational epitopeEpitopeEpitope predictionLinear epitope.

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