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Quantitative Prediction of Linear B-Cell Epitopes
Biomedical Statistics and Informatics
Volume 2, Issue 1, March 2017, Pages: 1-3
Received: Dec. 7, 2016; Accepted: Dec. 26, 2016; Published: Jan. 21, 2017
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Raul Isea, Fundacion IDEA, Edif. Bolivar, Hoyo de la Puerta, Baruta, Venezuela
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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.
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 © 2017 Authors retain the copyright of this article.
This article 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.
R. E. Soria-Guerra, R. Nieto-Gomez, D. O. Govea-Alonso, S. Rosales-Mendoza, “An overview of bioinformatics tools for epitope prediction: implications on vaccine development,” J. Biomed. Inform. Vol. 53, pp. 405-414, 2015.
R. Isea, “Mapeo computacional de epítopos de células B presentes en el virus del dengue”, Rev. Inst. Nac. Hig. Vol. 44, pp. 25-28, 2013.
R. Isea, E. Montes, A. J. Rubio-Montero. J. D. Rosales, M. A. Rodríguez-Pascual, R. Mayo-García, “Characterization of antigenetic serotypes from the dengue virus in Venezuela by means of Grid Computing,” Stud. Health Technol. Inform. Vol. 159, pp. 234-238, 2010.
R. Isea, “The Present-Day Meaning of the Word Bioinformatics,” Global Journal of Advanced Research. Vol. 2, pp. 70-73, 2015.
O. Ilzins, R. Isea, J. Hoebeke, “Can Bioinformatics Be Considered as an Experimental Biological Science?,” Open Science Journal of Bioscience and Bioengineering, vol. 2, pp. 60-62, 2015.
R. Isea, J. Hoebeke, R. Mayo-García, “Designing a peptide-dendrimer for use as a synthetic vaccine against Plasmodium falciparum 3D7”, Am. J. Bioinform. Comput. Biol vol. 1, pp. 1-8, 2013.
R. Isea, J. Hoebeke, R. Mayo-García, In Handbook on Human Papillomavirus: Prevalence, Detection and Management. Edited by Harris B. Smith. NOVA Publishers, pp. 433-444, 2013.
R. Isea, “Predicción de epítopos consensos de células B lineales en Plasmodium falciparum 3D7”, VacciMonitor, vol. 22, pp. 43-46, 2013.
R. Isea, “Mapeo computacional de epítopos de células B presentes en el virus del dengue B-cell epitopes mapping of dengue virus”, VacciMonitor. Vol. 19, pp. 15-19, 2010.
S. Bhardwaj, M. Holbrook, R. E. Shope, A. D. Barrett, S. J. Watowich, “Biophysical characterization and vector-specific antagonist activity of domain III of the tick-borne flavivirus envelope protein”,. J Virol. Vol. 75, pp. 4002-4007, 2001.
I. Staropoli, M. P. Frenkiel, F. Megret, V. Deubel, “Affinity-purified dengue-2 virus envelope glycoprotein induces neutralizing antibodies and protective immunity in mice,” Vaccine, vol. 15, pp. 1946-1954, 1997.
J. E. Larsen, O. Lund, M. Nielsen, “Improved method for predicting linear B-cell epitopes,” Immunome Res. Vol. 24, pp. 2, 2006
Y. Lian, M. Ge, X. M. Pan, “EPMLR: sequence-based linear B-cell epitope prediction method using multiple linear regression”, BMC Bioinformatics. Vol. 15, pp. 414, 2014.
J. Chen, H. Liu, J. Yang, K. Chou, “Prediction of linear B-cell epitopes using amino acid pair antigenicity scale”, Amino Acids. Vol. 33, pp. 423-428, 2007.
S. Saha, G. P. S. Raghava, “BcePred: prediction of continuous B-cell epitopes in antigenic sequences using physico-chemical properties,” Proteins, vol. 65, pp. 197-204, 2004.
E. A. Emini, J. V. Hughes, D. S. Perlow, J. J. Boger, “Induction of hepatitis A virus-neutralizing antibody by a virus-specific synthetic peptide”, Virol. Vol. 55, pp. 836-839, 1985.
R. Vita, J. A. Overton, J. A. Greenbaum, J. Ponomarenko, J. D. Clark, J. R. Cantrell, D. K. Wheeler, J. L. Gabbard, D. Hix, A. Sette A, B. Peters B, “The immune epitope database (IEDB) 3.0”, Nucleic Acids Res. Vol. 43, pp. D405-D412, 2015.
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