Designing a multi-epitope vaccine targeting UPF0721 of meningitis-causing Salmonella enterica serovar Typhimurium strain L-4126 by utilizing immuno-informatics and in silico approaches

2025/01/01 by Elham Mohammed Khatrawi, Syed Luqman Ali, Syed Yasir Ali +2 · 1 voice
Biochemistry, Genetics and Molecular Biology · Environmental Science · #Bacteriophages and microbial interactions #Machine Learning in Bioinformatics #vaccines and immunoinformatics approaches

paper · doi:10.1039/d5me00027k

openalex publication_date 2025/01/01 · openalex created_date 2025/04/23 · openalex updated_date 2026/06/24

Abstract

A multi-epitope vaccine targeting UPF0721 of Salmonella enterica was designed using immunoinformatics and molecular simulations, offering a promising strategy against meningitis-causing bacterial infections.

Citations

• PROCHECK: a program to check the stereochemical quality of protein structures
• AllerTOP v.2—a server for in silico prediction of allergens
• GROMACS: Fast, flexible, and free
• IEDB-AR: immune epitope database—analysis resource in 2019
• NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data
• TLR4 and CD14 trafficking and its influence on LPS-induced pro-inflammatory signaling

Discussions

• A new multi-epitope vaccine design targets drug-resistant Salmonella 🧫 Abduldayeva et al. use immunoinformatics to model a stable, immunogenic construct against meningitis-causing strains. 🔗 doi.org [bsky, 0 points, 0 comments]