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10.21203/rs.3.rs-30374/v1

http://scihub22266oqcxt.onion/10.21203/rs.3.rs-30374/v1
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32702713!7336711!32702713
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suck abstract from ncbi


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pmid32702713      Res+Sq 2020 ; ä (ä): ä
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  • An in-silico approach to develop of a multi-epitope vaccine candidate against SARS-CoV-2 envelope (E) protein #MMPMID32702713
  • Ghafouri F; Cohan RA; Noorbakhsh F; Samimi H; Haghpanah V
  • Res Sq 2020[May]; ä (ä): ä PMID32702713show ga
  • Since the first appearance of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS- CoV-2) in China on December 2019, the world has now witnessed the emergence of the SARS- CoV-2 outbreak. Therefore, due to the high transmissibility rate of virus, there is an urgent need to design and develop vaccines against SARS-CoV-2 to prevent more cases affected by the virus. In this study, a computational approach is proposed for vaccine design against the envelope (E) protein of SARS-CoV-2, which contains a conserved sequence feature. First, we sought to gain potential B-cell and T-cell epitopes for vaccine designing against SARS-CoV-2. Second, we attempted to develop a multi-epitope vaccine. Immune targeting of such epitopes could theoretically provide defense against SARS-CoV-2. Finally, we evaluated the affinity of the vaccine to major histocompatibility complex (MHC) molecules to stimulate the immune system response to this vaccine. We also identified a collection of B-cell and T-cell epitopes derived from E proteins that correspond identically to SARS-CoV-2 E proteins. The in-silico design of our potential vaccine against E protein of SARS-CoV-2 demonstrated a high affinity to MHC molecules, and it can be a candidate to make a protection against this pandemic event.
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