Designing a multi-epitope vaccine against Shigella dysenteriae using immuno-informatics approach

Autor: Hurria Qureshi, Amina Basheer, Muhammad Faheem, Muhammad Waqar Arshad, Sunil Kumar Rai, Syed Babar Jamal
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Genetics, Vol 15 (2024)
Druh dokumentu: article
ISSN: 1664-8021
DOI: 10.3389/fgene.2024.1361610
Popis: Shigella dysenteriae has been recognized as the second most prevalent pathogen associated with diarrhea that contains blood, contributing to 12.9% of reported cases, and it is additionally responsible for approximately 200,000 deaths each year. Currently, there is no S. dysenteriae licensed vaccine. Multidrug resistance in all Shigella spp. is a growing concern. Current vaccines, such as O-polysaccharide (OPS) conjugates, are in clinical trials but are ineffective in children but protective in adults. Thus, innovative treatments and vaccines are needed to combat antibiotic resistance. In this study, we used immuno-informatics to design a new multiepitope vaccine and identified S. dysenteriae strain SD197’s membrane protein targets using in-silico methods. The target protein was prioritized using membrane protein topology analysis to find membrane proteins. B and T-cell epitopes were predicted for vaccine formulation. The epitopes were shortlisted based on an IC50 value
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