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Journal of Immunology Research
Volume 2017, Article ID 2680160, 14 pages
Review Article

Fundamentals and Methods for T- and B-Cell Epitope Prediction

Laboratory of Immunomedicine, Faculty of Medicine, Complutense University of Madrid, Ave Complutense S/N, 28040 Madrid, Spain

Correspondence should be addressed to Pedro A. Reche; se.mcu.dem@gehcerap

Received 27 July 2017; Revised 22 November 2017; Accepted 27 November 2017; Published 28 December 2017

Academic Editor: Senthami R. Selvan

Copyright © 2017 Jose L. Sanchez-Trincado et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Adaptive immunity is mediated by T- and B-cells, which are immune cells capable of developing pathogen-specific memory that confers immunological protection. Memory and effector functions of B- and T-cells are predicated on the recognition through specialized receptors of specific targets (antigens) in pathogens. More specifically, B- and T-cells recognize portions within their cognate antigens known as epitopes. There is great interest in identifying epitopes in antigens for a number of practical reasons, including understanding disease etiology, immune monitoring, developing diagnosis assays, and designing epitope-based vaccines. Epitope identification is costly and time-consuming as it requires experimental screening of large arrays of potential epitope candidates. Fortunately, researchers have developed in silico prediction methods that dramatically reduce the burden associated with epitope mapping by decreasing the list of potential epitope candidates for experimental testing. Here, we analyze aspects of antigen recognition by T- and B-cells that are relevant for epitope prediction. Subsequently, we provide a systematic and inclusive review of the most relevant B- and T-cell epitope prediction methods and tools, paying particular attention to their foundations.