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2013, Number 3

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VacciMonitor 2013; 22 (3)

T and B epitope prediction of protein NS4b of dengue virus type 3

Amin N, Reyes F, Calero R, Camacho F, Acosta A

Language: Spanish
References: 22
Page: 14-21
PDF size: 196.32 Kb.


ABSTRACT

Dengue is considered an emerging infectious disease and the most important arthropod-borne viral disease in terms of morbidity and mortality. Despite the efforts made by the international scientific community, there is still no licensed vaccine against dengue. NS4b, the smallest hydrophobic proteins of dengue virus, has been reported to elicit antibodies and chemokines and cytokines in dengue-infected patients, but not much is known regarding the antigenic structure of this protein. In the field of vaccine design, the application of in silico techniques is very useful, for both the discovery and development of new and existing vaccines. Many predicted epitopes have been experimentally verified, demonstrating the usefulness of such predictions. In the present work, prediction programs: BcePred, ABCpred, HLApred, ProPred y Proped 1 were used to find novel epitopes from NS4b dengue virus type 3. 27 B-cell epitopes and 126 T-cell epitopes were identified on NS4b protein. The amino acidic sequence (FEKQLGQV) of NS4b protein was predicted by Bcepred server with a high score. Theoretical analysis of the potential of the T epitope -FEKQLGQV- showed a high coverage to be presented so that a sample of the Cuban population was used. Thirteen epitopes T out of those predicted resulted promiscuous, which can be potential vaccinal candidates. The importance of these epitopes is that they are identified main targets for the development of a subunit vaccine for prevention of dengue disease.


REFERENCES

  1. Guzmán MG, Hermida L, Bernardo L, Ramírez R, Guillén G. Domain III of the envelope protein as a dengue vaccine target. Expert Rev Vaccines 2010;9(1):87-97. Tabla 4. Cobertura poblacional del epítopo mimotopo- FEKQLGQV- de la proteína NS4b para los alelos HLA clase I.

  2. Hombach J. Vaccines against dengue: a review of current candidate vaccines at advanced development stages. Rev Panam Salud Pública 2007;21(4): 254-60.

  3. Abbas AK, Lichtman AH. Inmunología celular y molecula. 5 th ed. Madrid, España: Elsevier Science, Grafos SA; 2004.

  4. Kelley JF, Kaufusi PH, Volper EM, Nerurkar VR. Maturation of dengue virus nonstructural protein 4B in monocytes enhances production of dengue hemorrhagic fever-associated chemokines and cytokines. Virology 2011;418(1):27-39.

  5. Xie X, Wang QY, Xu HY, Qing M, Kramer L, Yuan Z, et al. Inhibition of dengue virus by targeting viral NS4B protein. J Virol 2011;85(21):11183-95.

  6. Tomar N, De RK. Immunoinformatics: an integrated scenario. Immunology 2010; 131(2):153-68.

  7. Amín N, Aguilar A, Chamacho F, Vázquez Y, Pupo M, Ramírez JC, et al. Identification of Dengue-specific B-Cell Epítopes by Phage-display Random Peptide Library. Malays J Med Sci 2009;16(4):4-14.

  8. Jain E, Bairoch A, Duvaud S, Phan I, Redaschi N, Suzek BE, et al. Infrastructure for the life sciences: design and implementation of the UniProt website. BMC Bioinformatics 2009; 10:136. Disponible en: doi:10.1186/1471-2105-10-136.

  9. Saha S, Raghava GPS. BcePred: prediction of continuous Bcell epitopes in antigenic sequences using physico-chemical properties. In: Nicosia G, Cutello V, Bentley, PJ, Timis J, eds. Artificial Immune Systems, Third International Conference. Catania, Sicily, Italy: ICARIS; 2004. p. 197-204.

  10. Bhasin M, Raghava GPS. A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes. J Biosci 2006;32:31-42.

  11. Singh H, Raghava GPS. ProPred: prediction of HLA-DR binding sites. Bioinformatics 2001;17:1236-7.

  12. Singh H, Raghava GPS. ProPred1: prediction of promiscuous MHC Class-I binding sites. Bioinformatics 2003;19:1009-14.

  13. Paradoa ML, Middleton D, Acosta A, Sarmiento ME, Leyva J. Genes HLA en una muestra de la población cubana. VacciMonitor 2000;9(3):1-5.

  14. Bui HH, Sidney J, Dinh K, Southwood S, Newman MJ, Sette A. Predicting population coverage of T-cell epitope-based diagnostics and vaccines. BMC Bioinformatics 2006;7:153.

  15. Vaughan K, Greenbaurn J, Blythe M, Peters B, Sette A. Metaanalysis of all immune epitope data in the Flavivirus genus: inventory of current immune epitope data status in the context of virus immunity and immunopathology. Viral Immunol 2010;23(3):259-84.

  16. Olán L, Mellado G, García J, Escobar A, Santos L, Gutiérrez B, et al. Analysis of antibody responses in human dengue patients from the mexican coast using recombinant antigens. Vector Borne and Zoonotic Diseases 2008;8)1):69-79.

  17. Van HV, Phuong CTN, Thuoc TL. Establishing a genomic and proteomic database to assit the design of vaccine in silico and the prediction of epitopes towards a multivalent peptide vaccine against dengue virus: proceedings of International Workshop on Biotecnology in Agriculture, Nong Lam University Ho Chi Minh city; October 20-21, 2006. Viet Nam; 2006: 89-91

  18. Sierra B, Alegre R, Pérez AB, García G, Sturn-Ramírez K, Obasanjo O, et al. HLA-A, -B, -C, and -DRB1 allele frequencies in Cuban individuals with antecedents of dengue 2 disease: advantages of the Cuban population for HLA studies of dengue virus infection. Hum Immunol 2007; 68(6):531-40.

  19. Nguyen TP, Kikuchi M, Vu TQ, Do QH, Tran TT, Vo DT, et al. Protective and enhancing HLA alleles, HLA-DRB1*0901 and HLA-A*24, for severe forms of dengue virus infection, dengue hemorrhagic fever and dengue shock syndrome. PLoS Negl Trop Dis 2008;2(10):e304. Disponible en: doi: 10.1371/ journal.pntd.0000304.

  20. Appanna R, Ponnampalavanar S, Lum Chai See L, Sekaran SD. Susceptible and protective HLA class 1 alleles against dengue fever and dengue hemorrhagic fever patients in a Malaysian population. PLoS One 2010;5(9): e13029. Disponible en: doi: 10.1371/journal.pone.0013029.

  21. Falcón-Lezama JA, Ramos C, Zuñiga J, Juárez-Palma L, Rangel-Flores H, García-Trejo AR, et al. HLA class I and II polymorphisms in Mexican Mestizo patients with dengue fever. Acta Trop 2009;112(2):193-7.

  22. Nigam P, Dellalibera E, Mauricio-da-Silva L, Donadi EA, Silva RS. Polymorphism of HLA class I genes in the Brazilian population from the Northeastern State of Pernambuco corroborates anthropological evidence of its origin. Tissue Antigens 2004;64(2):204-9.




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