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10.3390/vaccines8030355

http://scihub22266oqcxt.onion/10.3390/vaccines8030355
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32635180!7563688!32635180
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suck abstract from ncbi


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pmid32635180      Vaccines+(Basel) 2020 ; 8 (3): ä
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  • Immunoinformatic Analysis of T- and B-Cell Epitopes for SARS-CoV-2 Vaccine Design #MMPMID32635180
  • Wang D; Mai J; Zhou W; Yu W; Zhan Y; Wang N; Epstein ND; Yang Y
  • Vaccines (Basel) 2020[Jul]; 8 (3): ä PMID32635180show ga
  • Currently, there is limited knowledge about the immunological profiles of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). We used computer-based immunoinformatic analysis and the newly resolved 3-dimensional (3D) structures of the SARS-CoV-2 S trimeric protein, together with analyses of the immunogenic profiles of SARS-CoV, to anticipate potential B-cell and T-cell epitopes of the SARS-CoV-2 S protein for vaccine design, particularly for peptide-driven vaccine design and serological diagnosis. Nine conserved linear B-cell epitopes and multiple discontinuous B-cell epitopes composed of 69 residues on the surface of the SARS-CoV-2 trimeric S protein were predicted to be highly antigenic. We found that the SARS-CoV-2 S protein has a different antigenic profile than that of the SARS-CoV S protein due to the variations in their primary and 3D structures. Importantly, SARS-CoV-2 may exploit an immune evasion mechanism through two point mutations in the critical and conserved linear neutralization epitope (overlap with fusion peptide) around a sparsely glycosylated area. These mutations lead to a significant decrease in the antigenicity of this epitope in the SARS-CoV-2 S protein. In addition, 62 T-cell epitopes in the SARS-CoV-2 S protein were predicted in our study. The structure-based immunoinformatic analysis for the SARS-CoV-2 S protein in this study may improve vaccine design, diagnosis, and immunotherapy against the pandemic of COVID-19.
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