©1996-2019. All Rights Reserved. Online
Journal of Bioinformatics . You
may not store these pages in any form except for your own personal use. All
other usage or distribution is illegal under international copyright treaties.
Permission to use any of these pages in any other way besides the before mentioned must be gained in writing from
the publisher. This article is exclusively copyrighted in its entirety to OJB
publications. This article may be copied once but may not be, reproduced or re-transmitted without the express permission of the editors. This journal satisfies the refereeing
requirements (DEST) for the Higher Education Research Data Collection
(Australia). Linking:To link to this page or any pages
linking to this page you must link directly to this page only here rather than
put up your own page.
OJBTM
Online Journal of Bioinformatics ©
Volume 11 (1): 47-58, 2010.
Identification
& HLA distribution analysis of CD4+ epitope-based vaccine candidates for
H1N1 Swine Influenza.
Aditya N Sarangi¹, Bhawna Rathi¹, Nidhi Trivedi1, Stuti Gupta1
¹Biomedical Informatics
Centre, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow
226014, India.
ABSTRACT
Sarangi AN, Rathi B, Trivedi N,
Gupta S., Identification & HLA distribution analysis of CD4+ epitope-based
vaccine candidates for H1N1 Swine Influenza, Onl J Bioinform., 11 (1): 47-58, 2010. Swine
Influenza is an infectious disease of pigs caused by type A
influenza virus which is the prime source of influenza outbreaks in pigs.
Humoral immune response based vaccines against influenza target external viral
coat proteins. As these proteins are conserved for a given strain, such
vaccines may be ineffective against heterologous strains with serologically
distinct coat protein. In cell mediated immune responses, T cells play an important role by
targeting internal proteins common to heterologous viral strains. Nucleoprotein
(NP) sequence of Swine Influenza A was selected for T-cell epitope prediction
because NP undergoes relatively minor variation within types. Entropy based
analysis of the NP sequence of swine influenza was done to check the degree of
variability of the peptide and to infer the evolutionary stability. NetMHCIIPan server was used to predict and
analyze proteome promiscuous Helper T Lymphocytes (HTL) epitopes for
nucleoprotein of Swine Influenza. Population coverage tool of IEDB was employed
to determine the fraction of individuals expected to respond to a given set of
epitopes. The predicted epitopes may provide the support for serodiagnosis or as protective peptide immunogen in vaccine
design against Swine Influenza.
Key words: Swine flu, Peptide vaccine,
T-cell epitope, MHC polymorphism, HTL, Population coverage.
FULL-TEXT(SUBSCRIPTION
OR PURCHASE TITLE $25USD)