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Design of a multi-epitope vaccine candidate against carrion disease by immunoinformatics approach

  • 0Molecular Microbiology and Biotechnology Laboratory, Faculty of Biological Sciences, Universidad Nacional Mayor de San Marcos, Lima, Peru.
Computers in Biology and Medicine +

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November 20, 2024

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November 20, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

A novel vaccine candidate against Carrion's disease, caused by Bartonella bacilliformis, was designed using immunoinformatics. This in silico study proposes a promising multi-epitope vaccine to combat the disease where treatments are failing.

Area Of Science

  • Infectious Diseases
  • Vaccinology
  • Computational Biology

Background

  • Carrion's disease, caused by Bartonella bacilliformis, poses a significant public health threat in Peru, Ecuador, and Colombia.
  • Current antibiotic treatments for Carrion's disease face challenges due to emerging resistant strains and potential vector spread.
  • There is an urgent need for effective preventative measures, such as a vaccine, against Bartonella bacilliformis.

Purpose Of The Study

  • To design a multi-epitope vaccine candidate against Bartonella bacilliformis using immunoinformatics tools.
  • To identify and select B-cell and T-cell epitopes from the Bartonella bacilliformis proteome.
  • To computationally evaluate the stability and potential efficacy of the designed vaccine constructs.

Main Methods

  • In silico prediction of B-cell and CD4+/CD8+ T-cell epitopes from the Bartonella bacilliformis KC583 proteome.
  • Epitope selection based on promiscuity, non-allergenicity, conservation, non-homology, and non-toxicity criteria.
  • Assembly of vaccine constructs, tertiary structure prediction, molecular dynamics simulations, and molecular docking with TLR4 receptor.

Main Results

  • Identified and filtered B-cell and T-cell epitopes from outer membrane and virulence-associated proteins.
  • Assembled two vaccine constructs and evaluated their stability using molecular dynamics simulations.
  • Selected the most stable construct and performed molecular docking with the TLR4 receptor, indicating potential immunogenicity.

Conclusions

  • The study successfully designed a multi-epitope vaccine candidate against Bartonella bacilliformis through in silico immunoinformatics approaches.
  • The proposed vaccine construct demonstrates potential for further development as a preventative measure against Carrion's disease.
  • Computational evaluation provides a foundation for future experimental validation of this vaccine candidate.

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