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• W4318919101 abstract "Staphylococcus aureus is a horrifying bacteria capable of causing millions of deaths yearly across the globe. A major contribution to the success of S. aureus as an ESKAPE pathogen is the abundance of virulence factors that can manipulate the innate and adaptive immune system of the individual. Currently, no vaccine is available to treat S. aureus-mediated infections. In this study, we present in-silico approaches to design a stable, safe and immunogenic vaccine that could help to control the infections associated with the bacteria. Three vital pathogenic secreted toxins of S. aureus, such as staphylococcal enterotoxin A (SEA), staphylococcal enterotoxin B (SEB), Toxic-shock syndrome toxin (TSST-1), were selected using the reverse vaccinology approach to design the multi-epitope vaccine (MEV). Linear B-lymphocyte, cytotoxic T-lymphocyte (CTL) and helper T-lymphocyte (HTL) epitopes were predicted from these selected proteins. For designing the multi-epitope vaccine (MEV), B-cell epitopes were joined with the KK linker, CTL epitopes were joined with the AAY linker, and HTL epitopes were joined with the GPGPG linker. Finally, to increase the immune response to the vaccine, a human β-defensin-3 (hBD-3) adjuvant was added to the N-terminus of the MEV construct. The final MEV was found to be antigenic and non-allergen in nature. In-silico immune simulation and cloning analysis predicted the immune-stimulating potential of the designed MEV construct along with the cloning feasibility in the pET28a(+) vector with the E. coli expression system. This immunoinformatics study provides a platform for designing a suitable, safe and effective vaccine against S. aureus.Communicated by Ramaswamy H. Sarma" @default.
• W4318919101 created "2023-02-03" @default.
• W4318919101 creator A5007472894 @default.
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• W4318919101 date "2023-02-02" @default.
• W4318919101 modified "2023-10-16" @default.
• W4318919101 title "Exploring staphylococcal superantigens to design a potential multi-epitope vaccine against <i>Staphylococcus aureus</i>: an <i>in-silico</i> reverse vaccinology approach" @default.
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• W4318919101 doi "https://doi.org/10.1080/07391102.2023.2171138" @default.
• W4318919101 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36729064" @default.
• W4318919101 hasPublicationYear "2023" @default.
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