ArticleMolecular genetics and genomics : MGG2025
Computational identification of membrane proteins for vaccine design against drug-resistant Moraxella catarrhalis.
Article in Molecular genetics and genomics : MGG, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Computational development of multi-epitope vaccine to induce adaptive immunity against multi-drug resistant Prevotella intermedia.BMC infectious diseases · 2025Article
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10 authors.
Funding
Abstract
Moraxella catarrhalis is a Gram-negative diplococcus bacterium and a common respiratory pathogen, implicated in 15-20% of otitis media (OM) cases in children and chronic obstructive pulmonary disease (COPD) in adults. The rise of drug-resistant Moraxella catarrhalis has highlighted the urgent need for the potent vaccine strategies to reduce its clinical burden. Despite a mortality rate of 13%, there is no FDA-approved vaccine for this pathogen. The aim of this study was to computationally identify novel antigens and design a multi-epitope peptide-based vaccine candidate against M. catarrhalis using an immunoinformatics-driven subtractive proteomics and reverse vaccinology approaches. The core proteome of 12 M. catarrhalis genomes were analyzed, identifying 360 host non-homologous proteins. Subsequent screening revealed 30 metabolic pathway-dependent and 7 independent drug targets, along with 7 membrane and extracellular proteins as potential vaccine candidates. A prioritized protein target (WP_081569984.1) was selected for vaccine design. The predicted B-cell, MHC-I, and MHC-II epitopes were linked using adjuvants and linkers to construct four vaccine candidates (V1-V4). These constructs were assessed for physicochemical properties, allergenicity, antigenicity, secondary structures, and immune receptor interactions. As a result, V1 emerged as the most promising candidate. Molecular docking and molecular dynamics (MD) simulations evaluated the interactions of V1 with human toll-like receptors (TLR2 and TLR3). MD trajectories including RMSD, RMSF, Radius of gyration (Rg), SASA, binding free energy (MM-PBSA), PCA, free energy landscapes, and DCCM, showed a strong interaction of vaccine with the TLR recptors. Immune simulations predicted significant immune responses against the proposed vaccine. Additionally, the vaccine construct was in-silico tested in an E. coli plasmid vector (pET-28a(+) for its cloning potential. These findings highlight the potential of the proposed multi-epitope vaccine V1 as a safe and effective preventive strategy against M. catarrhalis-associated infections, and additionally laid the groundwork for future in vitro, in vivo, and clinical studies to validate its immunogenicity and protective efficacy.
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