PMID- 22430357
OWN - NLM
STAT- MEDLINE
DCOM- 20130904
LR  - 20120320
IS  - 1434-3207 (Electronic)
IS  - 1386-6338 (Linking)
VI  - 10
IP  - 5-6
DP  - 2010
TI  - A computational approach for identification of epitopes in dengue virus envelope 
      protein: a step towards designing a universal dengue vaccine targeting endemic 
      regions.
PG  - 235-46
LID - 10.3233/ISB-2010-0435 [doi]
AB  - A major problem in designing vaccine for the dengue virus has been the high 
      antigenic variability in the envelope protein of different virus strains. In this 
      study, a computational approach was adopted to identify a multi-epitope vaccine 
      candidate against dengue virus that may be suitable for large populations in the 
      dengue-endemic regions. Different bioinformatics tools were exploited that helped 
      the identification of a conserved immunological hot-spot in the dengue envelope 
      protein. The tools also rendered the prediction of immunogenicity and population 
      coverage to the proposed 'in silico' vaccine candidate against dengue. A peptide 
      region, spanning 19 amino acids, was identified in the envelope protein which 
      found to be conserved in all four types of dengue viruses. Ten proteasomal 
      cleavage sites were identified within the 19-mer conserved peptide sequence and a 
      total of 8 overlapping putative cytotoxic T cell (CTL) epitopes were identified. 
      The immunogenicity of these epitopes was evaluated in terms of their binding 
      affinities to and dissociation half-time from respective human leukocyte antigen 
      (HLA) molecules. The HLA allele frequencies were studied among populations in the 
      dengue endemic regions and compared with respect to HLA restriction patterns of 
      the overlapping epitopes. The cumulative population coverage for these epitopes 
      as vaccine candidates was high ranging from approximately 80% to 92%. Structural 
      analysis suggested that a 9-mer epitope fitted well into the peptide-binding 
      groove of HLA-A*0201. In conclusion, the 19-mer epitope cluster was shown to have 
      the potential for use as a vaccine candidate against dengue.
FAU - Chakraborty, Sajib
AU  - Chakraborty S
AD  - Bioinformatics and Stress Biology Unit, Department of Biochemistry and Molecular 
      Biology, University of Dhaka, Dhaka, Bangladesh.
FAU - Chakravorty, Rajib
AU  - Chakravorty R
FAU - Ahmed, Musaddeque
AU  - Ahmed M
FAU - Rahman, Atiqur
AU  - Rahman A
FAU - Waise, T M Zaved
AU  - Waise TM
FAU - Hassan, Faizule
AU  - Hassan F
FAU - Rahman, Mustafizur
AU  - Rahman M
FAU - Shamsuzzaman, Sohel
AU  - Shamsuzzaman S
LA  - eng
PT  - Journal Article
PL  - Netherlands
TA  - In Silico Biol
JT  - In silico biology
JID - 9815902
RN  - 0 (Antigens, Viral)
RN  - 0 (Dengue Vaccines)
RN  - 0 (Epitopes, T-Lymphocyte)
RN  - 0 (HLA-A*02:01 antigen)
RN  - 0 (HLA-A2 Antigen)
RN  - 0 (Vaccines, Subunit)
RN  - 0 (Viral Envelope Proteins)
SB  - IM
MH  - Amino Acid Sequence
MH  - Antigens, Viral/*chemistry/immunology
MH  - Conserved Sequence
MH  - Dengue/immunology/*prevention & control
MH  - Dengue Vaccines/*chemistry/immunology
MH  - Dengue Virus/chemistry/immunology
MH  - Endemic Diseases/*prevention & control
MH  - Epitopes, T-Lymphocyte/*chemistry/immunology
MH  - HLA-A2 Antigen/*chemistry/immunology
MH  - Humans
MH  - *Molecular Docking Simulation
MH  - Molecular Sequence Data
MH  - T-Lymphocytes, Cytotoxic/immunology
MH  - Vaccines, Subunit
MH  - Viral Envelope Proteins/*chemistry/immunology
EDAT- 2010/01/01 00:00
MHDA- 2013/09/05 06:00
CRDT- 2012/03/21 06:00
PHST- 2012/03/21 06:00 [entrez]
PHST- 2010/01/01 00:00 [pubmed]
PHST- 2013/09/05 06:00 [medline]
AID - U251565787437357 [pii]
AID - 10.3233/ISB-2010-0435 [doi]
PST - ppublish
SO  - In Silico Biol. 2010;10(5-6):235-46. doi: 10.3233/ISB-2010-0435.