Volume 2, Issue 1, March 2017, Page: 1-3
Quantitative Prediction of Linear B-Cell Epitopes
Raul Isea, Fundacion IDEA, Edif. Bolivar, Hoyo de la Puerta, Baruta, Venezuela
Received: Dec. 7, 2016;       Accepted: Dec. 26, 2016;       Published: Jan. 21, 2017
DOI: 10.11648/j.bsi.20170201.11      View  2425      Downloads  62
Abstract
In scientific literature, there are many programs that predict linear B-cell epitopes from a protein sequence. Each program generates multiple B-cell epitopes that can be individually studied. This paper defines a function called <C > that combines results from five different prediction programs concerning the linear B-cell epitopes (ie., BebiPred, EPMLR, BCPred, ABCPred and Emini Prediction) for selecting the best B-cell epitopes. We obtained 17 potential linear B cells consensus epitopes from Glycoprotein E from serotype IV of the dengue virus for exploring new possibilities in vaccine development. The direct implication of the results obtained is to open the way to experimentally validate more epitopes to increase the efficiency of the available treatments against dengue and to explore the methodology in other diseases.
Keywords
Epitope, B-Cell, Prediction, Dengue, Venezuela
To cite this article
Raul Isea, Quantitative Prediction of Linear B-Cell Epitopes, Biomedical Statistics and Informatics. Vol. 2, No. 1, 2017, pp. 1-3. doi: 10.11648/j.bsi.20170201.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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