In Silico design of a multi-epitope mRNA vaccine targeting BabA, SabA, HopQ and UreB proteins of helicobacter pylori using immuno informatics.

dc.contributor.author Hakiza, Benjamin Elisha
dc.date.accessioned 2025-08-19T13:05:13Z
dc.date.available 2025-08-19T13:05:13Z
dc.date.issued 2025
dc.description A research project report submitted to the College of Veterinary Medicine, Animal Resources and Biosecurity for the award of the Degree of Bachelor of Biomedical Laboratory Technology of Makerere University. en_US
dc.description.abstract Helicobacter pylori infects nearly half of the global population, with higher prevalence in developing countries. This gram-negative, microaerophilic bacterium causes gastric ulcers and is a major risk factor for gastric cancer, the third deadliest and fifth most common malignancy globally earning it WHO’s group 1 carcinogen status. Rising antibiotic resistance, frequent reinfections, and the lack of a licensed vaccine underscore the need for alternative therapies. This study employed immunoinformatics to design a novel multi-epitope mRNA vaccine using CTL, HTL, and B-cell epitopes derived from key virulence proteins: BabA, SabA, HopQ, and UreB. CTL and HTL epitopes were predicted using NetMHCpan-4.1 and NetMHCIIpan-4.0, respectively, while B cell candidate motifs were identified via MEME Suite. T cell epitopes were screened for antigenicity (VaxiJen), toxicity (ToxinPred), allergenicity (AllerTOP), and conservancy (IEDB). B cell epitopes underwent evaluation for linearity, beta turns, surface accessibility, flexibility, antigenicity, and hydrophilicity using IEDB tools. A total of 11 epitopes (6 T cell and 5 B cell) were selected based on the criteria, combined with a tissue plasminogen activator (tPA) signal sequence, the adjuvant hBD-3, and the immune co-stimulatory molecule CD40L using appropriate linkers. The final vaccine construct as predicted by the ProtParam sever was 560 amino acids long, with a predicted molecular weight of 61641.58 Da, pI of 9.43, hydrophilic (GRAVY: −0.390), soluble, and thermostable (aliphatic index: 76.12). The vaccine was non-allergenic, a probable non-toxin and had a VaxiJen antigenicity score of 0.93, confirming it as highly antigenic. GOR4-predicted secondary structure showed 34.11% alpha helices, 20% beta strands, and 45.89% coils. The 3D structure from I-TASSER (model 2) was selected based on a C-score of -0.91. Codon optimization in R yielded a CAI of 1.0 and GC content of 64.42%, suggesting efficient expression in humans. RNAfold analysis revealed an MFE of -1463.40 kcal/mol, ensemble free energy of -1505.17 kcal/mol, and a diversity of 1001.24, indicating thermodynamic stability. Collectively, these parameters support the vaccine's potential as an effective intervention against Helicobacter pylori. en_US
dc.identifier.citation Hakiza, B. E. (2025). In Silico design of a multi-epitope mRNA vaccine targeting BabA, SabA, HopQ and UreB proteins of helicobacter pylori using immuno informatics; unpublished dissertation, Makerere University, Kampala en_US
dc.identifier.uri http://hdl.handle.net/20.500.12281/20604
dc.language.iso en en_US
dc.publisher Makerere University en_US
dc.subject Helicobacter pylori en_US
dc.subject Multi epitope vaccine en_US
dc.subject mRNA vaccine en_US
dc.subject Immunoinformatics en_US
dc.subject Reverse vaccinology en_US
dc.subject Epitope prediction en_US
dc.subject Vaccine construct en_US
dc.subject Codon Adaptation Index en_US
dc.subject Antigenicity en_US
dc.title In Silico design of a multi-epitope mRNA vaccine targeting BabA, SabA, HopQ and UreB proteins of helicobacter pylori using immuno informatics. en_US
dc.type Thesis en_US
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