Reverse Vaccinology and Immune Simulation of a Novel Multiepitope Vaccine Targeting Brucella Virulence

Background/Objectives: Brucella is a major global One Health threat, causing an estimated 2.1 million human infections and substantial livestock losses annually, with no vaccine currently available for humans, underscoring the urgent need for a safe and effective vaccine. Methods: Employing a reverse vaccinology approach, a novel 175-mer multiepitope vaccine (Mvax) targeting Brucella FrpB was computationally designed in this study, incorporating two B-cell, two MHC class I (MHC-I), and three MHC class II (MHC-II) epitopes selected for their high predicted antigenicity, safety, and IFN-γ-inducing potential. Human β-defensin-3 (hBD3) was fused to the N-terminus as an adjuvant, followed by comprehensive in silico evaluation of the construct. Results: Population coverage analysis predicted 99.59% global MHC class I/II coverage for selected epitopes. In silico analyses predicted that Mvax has high solubility (Protein-SOL score: 0.808), a high antigenicity score (VaxiJen: 1.06), and a negative GRAVY index (−0.881), indicating favorable predicted physicochemical characteristics. iMODS, CABS-Flex 3, and molecular dynamics simulations suggested theoretical stability trends for the modeled vaccine complexes. C-ImmSim immune simulations further predicted elevated Th1 cell populations and associated cytokines (IL-12, IFN-γ, IL-2) following both single and multiple simulated Mvax exposures. Conclusions: The computational analyses described here provide a theoretical modeling basis for an antivirulence multi-epitope vaccine design against human brucellosis, with predicted metrics and simulated immune responses requiring empirical validation.

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Publication Details

Journal
Biologics
Published
2026-02-03
DOI
https://doi.org/10.3390/biologics6010006
Primary Topic
vaccines and immunoinformatics approaches
Type
article
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article

Reverse Vaccinology and Immune Simulation of a Novel Multiepitope Vaccine Targeting Brucella Virulence

Mostafa F. N. Abushahba
Biologics
vaccines and immunoinformatics approaches
article

Reverse Vaccinology and Immune Simulation of a Novel Multiepitope Vaccine Targeting Brucella Virulence

Mostafa F. N. Abushahba
article en

Abstract

Background/Objectives: Brucella is a major global One Health threat, causing an estimated 2.1 million human infections and substantial livestock losses annually, with no vaccine currently available for humans, underscoring the urgent need for a safe and effective vaccine. Methods: Employing a reverse vaccinology approach, a novel 175-mer multiepitope vaccine (Mvax) targeting Brucella FrpB was computationally designed in this study, incorporating two B-cell, two MHC class I (MHC-I), and three MHC class II (MHC-II) epitopes selected for their high predicted antigenicity, safety, and IFN-γ-inducing potential. Human β-defensin-3 (hBD3) was fused to the N-terminus as an adjuvant, followed by comprehensive in silico evaluation of the construct. Results: Population coverage analysis predicted 99.59% global MHC class I/II coverage for selected epitopes. In silico analyses predicted that Mvax has high solubility (Protein-SOL score: 0.808), a high antigenicity score (VaxiJen: 1.06), and a negative GRAVY index (−0.881), indicating favorable predicted physicochemical characteristics. iMODS, CABS-Flex 3, and molecular dynamics simulations suggested theoretical stability trends for the modeled vaccine complexes. C-ImmSim immune simulations further predicted elevated Th1 cell populations and associated cytokines (IL-12, IFN-γ, IL-2) following both single and multiple simulated Mvax exposures. Conclusions: The computational analyses described here provide a theoretical modeling basis for an antivirulence multi-epitope vaccine design against human brucellosis, with predicted metrics and simulated immune responses requiring empirical validation.

BiologicsVol. 6(1)
Missouri College (US), University of Missouri (US), Assiut University (EG)
Good health and well-being
Openalex Percentile: Top 68%
vaccines and immunoinformatics approaches
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Reverse Vaccinology and Immune Simulation of a Novel Multiepitope Vaccine Targeting Brucella Virulence — Mostafa F. N. Abushahba · Biologics (2026) | TGRS Research Map | TGRS