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T and B cell Epitope analysis of SARS-CoV-2 S protein based on immunoinformatics and experimental research.
Chen, Ziwei; Ruan, Pinglang; Wang, Lili; Nie, Xinmin; Ma, Xuejun; Tan, Yurong.
  • Chen Z; Department of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, China.
  • Ruan P; Department of Clinical Laboratory, Third Xiangya Hospital, Central South University, Changsha, China.
  • Wang L; Department of NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Nie X; Department of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, China.
  • Ma X; Department of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, China.
  • Tan Y; Department of Clinical Laboratory, Third Xiangya Hospital, Central South University, Changsha, China.
J Cell Mol Med ; 25(2): 1274-1289, 2021 01.
Article in English | MEDLINE | ID: covidwho-978718
ABSTRACT
COVID-19 caused by SARS-CoV-2 is pandemic with a severe morbidity and mortality rate across the world. Despite the race for effective vaccine and drug against further expansion and fatality rate of this novel coronavirus, there is still lack of effective antiviral therapy. To this effect, we deemed it necessary to identify potential B and T cell epitopes from the envelope S protein. This can be used as potential targets to develop anti-SARS-CoV-2 vaccine preparations. In this study, we used immunoinformatics to identify conservative B and T cell epitopes for S proteins of SARS-CoV-2, which might play roles in the initiation of SARS-CoV-2 infection. We identified the B cell and T cell peptide epitopes of S protein and their antigenicity, as well as the interaction between the peptide epitopes and human leucocyte antigen (HLA). Among the B cell epitopes, 'EILDITPCSFGGVS' has the highest score of antigenicity and great immunogenicity. In T cell epitopes, MHC-I peptide 'KIADYNYKL' and MHC-II peptide 'LEILDITPC' were identified as high antigens. Besides, docking analysis showed that the predicted peptide 'KIADYNYKL' was closely bound to the HLA-A*0201. The results of molecular dynamics simulation through GROMACS software showed that 'HLA-A*0201~peptide' complex was very stable. And the peptide we selected could induce the T cell response similar to that of SARS-CoV-2 infection. Moreover, the predicted peptides were highly conserved in different isolates from different countries. The antigenic epitopes presumed in this study were effective new vaccine targets to prevent SARS-CoV-2 infection.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epitopes, T-Lymphocyte / Epitopes, B-Lymphocyte / Spike Glycoprotein, Coronavirus / SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: J Cell Mol Med Journal subject: Molecular Biology Year: 2021 Document Type: Article Affiliation country: Jcmm.16200

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epitopes, T-Lymphocyte / Epitopes, B-Lymphocyte / Spike Glycoprotein, Coronavirus / SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: J Cell Mol Med Journal subject: Molecular Biology Year: 2021 Document Type: Article Affiliation country: Jcmm.16200