Abstract
Acinetobacter baumanii is currently being listed by the WHO as one of the priority organisms implicated in antimicrobial resistance which has mostly been ascribed to plasmid- and chromosome-encoded carbapenemases such as the OXA genes. This protein is a membrane porin of A. baumanii and the action of specific antibodies against it would exert bactericidal or bacteriostatic effect in-vitro. Thus, this study used an immunoinformatic approach to design a multi-epitope based vaccine that is targeted against A. baumanii infections using Bla-Oxa carbapenemase gene protein sequences. Methods and materials: Designed subunit vaccine was evaluated for its antigenicity, immunogenicity, allergenicity and physicochemical parameters. Results: A total of 109 CTL epitopes (9-mer) were predicted using NetCTL 1.2 server, among them only 4 epitopes with highranked binding affinity score were chosen as final CTL epitopes. Similarly, the HTL epitopes were identified using IEDB MHC-II prediction module based on the higher binding affinity with MHC- II, the mouse alleles used for the prediction were H2-1Ad, H2-1Ed, and H2-1Ab. A maximum immune response TLR-4 agonist (APPHALS) was used as an adjuvant and CTL epitopes were combined together by EAAAK linker, intra-CTL and intra-HTL epitopes joint by AAY and GPGPG linker to make a final vaccine construct of 472 amino acid residues designed using 4 CTL and 7 HTL epitopes. Conclusion: Collectively, this research provides novel candidates for epitope-based peptide vaccine design against Acinetobacter baumanii.
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