Computational prediction and molecular simulation-based development of a multi-epitope mRNA vaccine targeting capsule

Shubhi Singh1, Priya Swaminathan1

  • 1Department of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu 603203, India.

Insights

Developing an Enterobacter cloacae (EC) vaccine is crucial. This study identified 12 epitopes for an mRNA vaccine, showing promise in silico for preventing EC infections.

Area of Science:

  • Microbiology
  • Vaccinology
  • Bioinformatics

Background:

  • Enterobacter cloacae (EC) is a significant opportunistic pathogen causing diverse infections.
  • The emergence of EC necessitates the development of novel preventive strategies, such as vaccines.

Purpose of the Study:

  • To identify potential epitopes from Enterobacter cloacae capsule polysaccharide (CPS) proteins for mRNA vaccine development.
  • To design and evaluate an in silico mRNA vaccine candidate against EC infections.

Main Methods:

  • Utilized immunoinformatic approaches to identify T-cell and B-cell epitopes.
  • Employed molecular docking and dynamics simulations to predict epitope-MHC interactions and complex stability.
  • Performed in silico immunological modeling and codon optimization for mRNA vaccine design.

Main Results:

  • Identified 12 T-helper (HTL), cytotoxic T-lymphocyte (CTL), and linear B-cell (LBL) epitopes.
  • Successfully designed three distinct vaccine constructs with adjuvants.
  • In silico analysis indicated vaccine stability and potential efficacy, with successful docking to Toll-Like Receptors 2 and 4.

Conclusions:

  • The proposed in silico mRNA vaccine construct is a promising candidate for combating Enterobacter cloacae infections.
  • Further in vitro studies are warranted to validate the efficacy of this novel vaccine approach.

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