Molecular Biology

, Volume 43, Issue 1, pp 150–158

Prediction of linear B-cell epitopes

Mathematical and System Biology

DOI: 10.1134/S0026893309010208

Cite this article as:
Davydov, Y.I. & Tonevitsky, A.G. Mol Biol (2009) 43: 150. doi:10.1134/S0026893309010208
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Abstract

The use of antigenicity scales based on physicochemical properties and the sliding window method in combination with an averaging algorithm and subsequent search for the maximum value is the classical method for B-cell epitope prediction. However, recent studies have demonstrated that the best classical methods provide a poor correlation with experimental data. We review both classical and novel algorithms and present our own implementation of the algorithms. The AAPPred software is available at http://www.bioinf.ru/aappred/.

Key words

B-cell epitope prediction machine learning 

Copyright information

© Pleiades Publishing, Ltd. 2009

Authors and Affiliations

  1. 1.Faculty of BiologyMoscow State UniversityMoscowRussia

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