Comparison of full-length genomics sequences between dengue virus serotype 3, parental strain, and its derivatives, and B-cell epitopes prediction from envelope region



Siriwattana Thaisonthi1, Jundee Rabablert1 & Sutee Yoksan2*



1Department of Biology, Faculty of Science, Silpakorn University, Nakhon Pathom, Thailand; 2Center for Vaccine Development, Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Thailand


Email; *Corresponding author


Article Type




Received March 29, 2013; Revised June 4, 2013; Accepted April 05, 2013; Published July 12, 2013



Biological markers are normally used to evaluate the candidate of live-attenuated dengue vaccines. D3V 16562 Vero 23 and D3V 16562 Vero 33 which were derivatives of D3V 16562, parental strain, showed the similar biological data. We used molecular techniques and computational tools to evaluate these derivatives. The nucleotide and amino acid sequences of the derivatives were compared to their parent. The secondary structures of untranslated regions and B-cell epitopes were predicted. The results showed that nucleotide substitutions mostly occurred in NS5 and NS5 of V2 was unusual because of amino acid change at 3349 (tryptophan àstop codon). The nucleotide substitutions in 5’UTR, prM, E, NS1, NS2A, NS3, and 3’UTR were 4, 1, 2, 2, 1, 3, and 2, respectively. The secondary structure of 5’UTR of V2 was different from P and V1. The secondary structure of 3’UTR of V2 was similar to P and certainly distinct from V1. Furthermore, B-cell epitopes prediction revealed that there were 21 epitopes of envelope and the interesting epitope was at position 297-309 because it was in domain III in which the neutralizing antibody is induced. For this study, the attenuation of derivatives was caused by the nucleotide substitutions in 5’UTR, 3’UTR, and NS5 regions. The genotypic data and B-cell epitope make the derivatives attractive for the chimeric and peptide DENV vaccine development.



Dengue virus, Live-attenuated dengue vaccine, dengue epitope, 5’-3’UTR secondary structure.



Thaisonthi et al.  Bioinformation 9(12): 622-628 (2013)


Edited by

P Kangueane






Biomedical Informatics



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