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Immuno-Informatics Based Peptides: An Approach for Vaccine Development Against Outer Membrane Proteins of Pseudomonas
Abstract:
Pseudomonas genus is among the top nosocomial pathogens known to date. Being highly opportunistic, members of pseudomonas genus are most commonly connected with nosocomial infections of urinary tract and ventilator-associated pneumonia. Nevertheless, vaccine development for this pathogenic genus is slow because of no information regarding immunity correlated functional mechanism. In this present work, an immunoinformatics pipeline is used for vaccine development based on epitope-based peptide design, which can result in crucial immune response against outer membrane proteins of pseudomonas genus. A total of 127 outer membrane proteins were analysed, studied and out of them three sequences were obtained to be the producer of non-allergic, highly antigenic T-cell and B-cell epitopes which show good binding affinity towards class II HLA molecules. After performing rigorous screening utilizing docking, simulation, modelling techniques, we had one nonameric peptide (WLLATGIFL)as a good vaccine candidate. The predicted epitopes needs to be further validated for its apt use as vaccine. This work paves a new way with extensive therapeutic application against Pseudomonas genus and their associated diseases.
Insights
This study developed a potential vaccine for Pseudomonas using immunoinformatics. A peptide candidate (WLLATGIFL) was identified to elicit immune responses against this common nosocomial pathogen.
Area of Science:
- * Computational vaccinology and immunoinformatics.
- * Bacterial pathogenesis and infectious diseases.
Background:
- * Pseudomonas species are significant causes of hospital-acquired infections, including urinary tract and ventilator-associated pneumonia.
- * Developing effective vaccines against Pseudomonas has been hindered by a lack of understanding of immune mechanisms.
- * Outer membrane proteins are key targets for antibacterial therapies and vaccine development.
Purpose of the Study:
- * To design an epitope-based peptide vaccine against the Pseudomonas genus using an immunoinformatics approach.
- * To identify potential T-cell and B-cell epitopes from Pseudomonas outer membrane proteins.
- * To evaluate the immunogenic and binding properties of designed peptide candidates.
Main Methods:
- * Analysis of 127 outer membrane proteins from the Pseudomonas genus.
- * Application of an immunoinformatics pipeline for epitope prediction and selection.
- * In silico screening including molecular docking, simulation, and modeling techniques.
Main Results:
- * Identification of three protein sequences yielding non-allergic, highly antigenic T-cell and B-cell epitopes.
- * Epitopes demonstrated good binding affinity to class II HLA molecules.
- * A specific nonameric peptide (WLLATGIFL) emerged as a promising vaccine candidate after rigorous screening.
Conclusions:
- * The identified peptide WLLATGIFL shows potential as a vaccine candidate against Pseudomonas infections.
- * This immunoinformatics approach offers a novel strategy for developing therapeutics against Pseudomonas.
- * Further experimental validation is required to confirm the efficacy of the predicted epitopes as a vaccine.
