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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
Published on: March 25, 2014
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Immunoinformatic-based design of a multi-epitope subunit vaccine against Ruminococcus torques using subtractive
Samina Kousar1, Irfan Manzoor2, Sher Muhammad3
1Department of Biological Sciences, Faculty of Sciences, The Superior University Lahore, Lahore, 54000, Pakistan.
Scientific Reports
|March 27, 2026
Summary
Ruminococcus torques, a gut bacterium linked to gastrointestinal and extraintestinal infections, is a target for a new multi-epitope vaccine. Computational methods identified key epitopes to design a promising vaccine candidate for R. torques.
Area of Science:
- Microbiology
- Immunology
- Bioinformatics
Background:
- Ruminococcus torques is an anaerobic, Gram-positive gut bacterium implicated in gastrointestinal diseases like irritable bowel syndrome (IBS) and inflammatory bowel disease (IBD).
- This bacterium's mucolytic activity compromises intestinal barrier integrity, contributing to dysbiosis and pathogenicity.
- Emerging evidence links R. torques to extraintestinal infections, including pneumonia and bacteremia, particularly in immunocompromised individuals, underscoring the need for effective prophylaxis.
Purpose of the Study:
- To design a candidate multi-epitope vaccine against Ruminococcus torques using bioinformatics and immunoinformatics strategies.
- To identify potent B- and T-cell epitopes from the R. torques proteome with high antigenicity, non-allergenicity, and non-toxicity.
- To computationally validate the vaccine construct's structure, receptor binding, and expression potential.
Main Methods:
- Proteomic analysis of Ruminococcus torques strain ATCC 27,756 to identify target proteins (FtsX, single-stranded DNA binding protein, FtsW).
- In silico selection and linkage of B- and T-cell epitopes using spacers and an adjuvant.
- Computational modeling, refinement, validation, molecular docking against TLR4, and molecular dynamics simulation of the vaccine construct.
- In silico cloning to assess GC content and Codon Adaptation Index (CAI) for expression potential.
Main Results:
- Identification of key R. torques proteins and selection of high-quality epitopes for vaccine design.
- Successful in silico construction, structural modeling, and validation of a multi-epitope vaccine candidate.
- Demonstrated potential binding affinity to Toll-like receptor 4 (TLR4) and stability via molecular dynamics simulations.
- In silico cloning indicated high expression potential with a GC content of 49.29% and a CAI of 0.875.
Conclusions:
- The study computationally designed a promising multi-epitope vaccine candidate against Ruminococcus torques.
- In silico analyses suggest favorable antigenicity, non-toxicity, and high expression potential for the proposed vaccine.
- Experimental validation is crucial to confirm the immunogenicity and protective efficacy of this novel vaccine strategy against R. torques infections.
Keywords:
Ruminococcus torquesImmunoinformaticsMulti-epitope vaccineReverse vaccinologySubtractive proteomics
