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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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