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- W4230537101 abstract "The COVID-19 pandemic caused by the SARS-CoV-2 virus is posing a major global challenge due to its rapid infectivity and lethality. Despite a global effort towards creating a vaccine, no viable vaccine currently exists. While multiple bioinformatic studies have attempted to predict epitopes, they have focused on the whole spike protein without considering antibody mediated enhancement or Th-2 immunopathology and have missed some important but less antigenic epitopes in the receptor binding domain. Therefore, this study used in silico methods to design and evaluate a potential multiepitope vaccine that specifically targets the receptor binding domain due to its critical function in viral entry. Immunoinformatic tools were used to specifically examine the receptor binding domain of the surface glycoprotein for suitable T cell and B cell epitopes. The selected 5 B cell and 8 T cell epitopes were then constructed into a subunit vaccine and appropriate adjuvants along with the universal immunogenic PADRE sequence were added to boost efficacy. The structure of the vaccine construct was predicted through a de novo approach and molecular docking simulations were performed which demonstrated high affinity binding to TLR 5 receptor and appropriate HLA proteins. Finally, the vaccine candidate was cloned into an expression vector for use as a recombinant vaccine. Similarities to some recent epitope mapping studies suggest a high potential for eliciting neutralizing antibodies and generating a favorable overall immune response." @default.
- W4230537101 created "2022-05-11" @default.
- W4230537101 creator A5078034413 @default.
- W4230537101 date "2020-04-12" @default.
- W4230537101 modified "2023-09-25" @default.
- W4230537101 title "In-silico design of a multi-epitope recombinant vaccine against SARS-CoV-2 targeting the receptor binding domain" @default.
- W4230537101 doi "https://doi.org/10.31219/osf.io/cg6e3" @default.
- W4230537101 hasPublicationYear "2020" @default.
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