Immunoinformatics design of multi-epitope peptide-based vaccine against Haemophilus influenzae strain using cell division protein

Haemophilus influenzae is a pathogen that causes invasive bacterial infections in humans. The highest prevalence lies in both young children and adults. Generally, there are no vaccines available that target all the strains of Haemophilus influenzae . Hence, the purpose of this research is to employ...

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Veröffentlicht in:Network modeling and analysis in health informatics and bioinformatics 2022-11, Vol.12 (1), p.1, Article 1
Hauptverfasser: AlChalabi, Rawaa, Al-Rahim, Aya, Omer, Dania, Suleiman, Ahmed AbdulJabbar
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description Haemophilus influenzae is a pathogen that causes invasive bacterial infections in humans. The highest prevalence lies in both young children and adults. Generally, there are no vaccines available that target all the strains of Haemophilus influenzae . Hence, the purpose of this research is to employ bioinformatics and immunoinformatics approaches to design a Multi-Epitope Vaccine candidate employing the pathogenic cell division protein FtsN that specifically combat all the Haemophilus influenzae strains. The current research focuses on developing subunit vaccine in contrast to vaccines generated from the entire pathogen. This will be accomplished by combining multiple bioinformatics and immunoinformatics approaches. As a result, prospective T cells (helper T lymphocyte and cytotoxic T lymphocytes) and B cells epitopes were investigated. The human leukocyte antigen allele having strong associations with the antigenic and overlapping epitopes were chosen, with 70% of the total coverage of the world population. To construct a linked vaccine design, multiple linkers were used. To increase the immunogenic profile, an adjuvant was linked using EAAAK linker. The final vaccine construct with 149 amino acids was obtained after adjuvants and linkers were added. The developed Multi-Epitope Vaccine has a high antigenicity as well as viable physiochemical features. The 3D conformation was modeled and undergoes refinement and validation using bioinformatics methods. Furthermore, protein–protein molecular docking analysis was performed to predict the effective binding poses of Multi-Epitope Vaccine with the Toll-like receptor 4 protein. Besides, vaccine underwent the codon translational optimization and computational cloning to verify the reliability and proper Multi-Epitope Vaccine expression. In addition, it is necessary to conduct experiments and research in the laboratory to demonstrate that the vaccine that has been developed is immunogenic and protective.
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subjects Adjuvants
Amino acids
Antigenicity
Antigens
Applications of Graph Theory and Complex Networks
Bacteria
Bioinformatics
Cell division
Cloning
Computational Biology/Bioinformatics
Computer Science
Cytokines
Cytotoxicity
Epitopes
Genomes
Haemophilus influenzae
Health Informatics
Histocompatibility antigen HLA
Immunogenicity
Lymphocytes
Lymphocytes B
Lymphocytes T
Molecular docking
Original
Original Article
Pathogenesis
Pathogens
Peptides
Physiochemistry
Pneumonia
Proteins
Strains (organisms)
Three dimensional models
TLR4 protein
Toll-like receptors
Vaccines
title Immunoinformatics design of multi-epitope peptide-based vaccine against Haemophilus influenzae strain using cell division protein
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