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OJBTM
Online
Journal of Bioinformatics©
Volume 21(2): 106-113, 2020.
In silico
prediction of potential T cell antigenic determinants from proteome of H1N2 swine influenza A
virus.
Sitansu Kumar Verma, Shivam Pratap Singh Yadav and
Ajay Kumar.
Department of Biotechnology, Institute of
Biomedical Education and Research, Mangalayatan
University, Aligarh (U.P), India
ABSTRACT
Verma SK, Singh Yadav SP, Kumar A., In silico prediction
of potential T cell antigenic determinants from proteome of H1N2 swine
influenza A virus, Onl J Bioinform.,
21(2): 106-113, 2020. Swine influenza (H1N2) is a highly contagious
respiratory pathogen which also infects humans. We describe screening for
peptides which could be used for vaccines for patients diagnosed with influenza A virus
(H1N2). Propred logarithms were used
to predict T cell
epitopes from hemagglutinin, neuraminidase, polymerase, polymerase basic, nonstructural and nucleocapsid proteins of influenza virus (A/Sw/It/116114/2010) (H1N2). We found 21 T epitopes for HLA class I and 20 for HLA class II molecules
binding with maximum number of HLA alleles. By Propred
I and Propred threshold was 4% high binding affinity peptides. We find that T cell epitopes
may be a useful diagnostic reagent for T-cell responses and possibly vaccines
in swine H1N2 influenza.
Keywords: T cell epitope, Propred, Influenza A
virus (H1N2), Human Leukocyte antigen, In silico.
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