Prediction of linear B-cell epitopes |
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Authors: | Ya. I. Davydov A. G. Tonevitsky |
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Affiliation: | (1) Faculty of Biology, Moscow State University, Moscow, 119991, Russia |
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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/. |
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Keywords: | B-cell epitope prediction machine learning |
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