Computational study to investigate Proteus mirabilis proteomes for multi-epitope vaccine construct design

Asad Ullah1, Saif Ullah Khan2, Mahboob Ul Haq3

  • 1Department of Health and Biological Sciences, Abasyn University, Peshawar, Pakistan.

Insights

This study designed a novel multi-epitope vaccine construct against Proteus mirabilis, a bacterium causing urinary tract infections. The vaccine shows promise for eliciting immune responses and warrants further experimental testing.

Area of Science:

  • Microbiology and Immunology
  • Vaccine Development
  • Bioinformatics

Background:

  • Proteus mirabilis causes catheter-associated urinary tract infections due to its swarming motility and antibiotic resistance.
  • Existing vaccines necessitate the identification of novel vaccine targets against P. mirabilis.
  • Genomic analysis revealed virulent and antigenic proteins on the bacterial cell surface.

Purpose of the Study:

  • To design and computationally evaluate a multi-epitope vaccine construct against Proteus mirabilis.
  • To identify potential antigenic targets and epitopes for vaccine development.
  • To assess the binding affinity and stability of the vaccine construct with immune receptors.

Main Methods:

  • Bioinformatic analysis of P. mirabilis proteome to identify surface and virulent proteins.
  • Antigenicity and epitope prediction (B-cell and T-cell) using computational tools.
  • In silico construction of a multi-epitope vaccine with linkers and adjuvant.
  • Molecular docking and molecular dynamics simulations to evaluate vaccine-host interactions.

Main Results:

  • Two antigenic proteins were identified, yielding eleven B-cell epitopes and subsequent T-cell epitopes.
  • A 226-residue multi-epitope vaccine construct was designed and docked with MHC-I, MHC-II, and TLR-4.
  • High binding energies and stable interactions were observed in docking and molecular dynamics simulations, indicating potential immunogenicity.

Conclusions:

  • The designed multi-epitope vaccine construct demonstrates potential for inducing immune responses against P. mirabilis.
  • Computational findings support further experimental validation and development of this vaccine candidate.
  • This study provides a promising strategy for developing new vaccines against antibiotic-resistant P. mirabilis infections.