Abstract
Computational identification of B-cell epitopes from antigen chains is a difficult and actively pursued research topic. Efforts towards the development of method for the prediction of linear epitopes span over the last three decades, while only recently several predictors of conformational epitopes were released. We review a comprehensive set of 13 recent approaches that predict linear and 4 methods that predict conformational B-cell epitopes from the antigen sequences. We introduce several databases of B-cell epitopes, since the availability of the corresponding data is at the heart of the development and validation of computational predictors. We also offer practical insights concerning the use and availability of these B-cell epitope predictors, and motivate and discuss feature research in this area.
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Acknowledgements
This work was supported by National Science Foundation of China (NSFC) grants 31050110432 and 31150110577 to L.K. J.G. was supported by the Fundamental Research Funds for the Central Universities grant 65011491.
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Gao, J., Kurgan, L. (2014). Computational Prediction of B Cell Epitopes from Antigen Sequences. In: De, R., Tomar, N. (eds) Immunoinformatics. Methods in Molecular Biology, vol 1184. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1115-8_11
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DOI: https://doi.org/10.1007/978-1-4939-1115-8_11
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