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the 4th international edition and 13th Iranian Conference on Bioinformatics
international edition and Iranian Conference on Bioinformatics
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Insilico study of CD4+ T cells epitopes in ORF1ab protein of SARS-COV-2 for Iranian common MHCII alleles
نویسندگان :
Fatemeh Hajighasem
1
Atefeh Shirkavand
2
1- Department of Immunology, Faculty of Medicine, Shahed University, Tehran, Iran
2- Medical Biotechnology Division, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran
کلمات کلیدی :
insilico،SARS-COV-2،epitopes،CD4+ T cells
چکیده :
Introduction: WHO pronounced the corona virus epidemic on January 20, 2020. SARS-COV-2 (as a member of coronavirus family) causes breathing problems in humans. Several vaccines have been produced against SARS-COV-2. However up to now no very safe and high efficient vaccine has been existing. ORF1ab is the main open reading frame of SARS-COV-2. Cell mediated immunity has an important role in defense against corona virus. In this study, CD4+ T cells specific epitopes located on ORF1ab protein of SARS-COV-2 virus for common MHC II alleles in Iranian population, were determined by computational immunology. Methods: The amino acid sequence of ORF1ab protein from SARS-COV-2 virus was got using NCBI database. The most abundant MHC II alleles in the Iranian population were determined by allele frequency net database and the specific epitopes of CD4+ T lymphocytes (connected to MHC II alleles) were predicted by NETMHCPan software. Results: In this study, 1610 CD4+ T cells specific epitopes located on ORF1ab protein of SARS-COV-2 for Iranian common MHC II alleles were predicted by computational immunology. Conclusions: In present study, a lot of CD4+ T cells specific epitopes on ORF1ab protein of SARS-COV-2 for Iranian common MHCII alleles were recognized. Additional studies for recognition of epitopes which induce robust immune response to make effective anti- SARS-COV-2 vaccines are necessary.
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بیشتر
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