In Silico identification of highly conserved CTL epitopes from Streptococcus pyogenes exoenzymes for epitope-based vaccine development

Background: Streptococcus pyogenes represents a major global health concern attributable to its extensive repertoire of virulence factors, which contribute to severe diseases, most notably streptococcal pharyngitis. To facilitate the development of a safer, more targeted vaccine, this study employed a comprehensive in silico immunoinformatics approach to identify highly conserved cytotoxic T-lymphocyte (CTL) epitopes from five critical exoenzymes: SpeB, mitogenic factor (MF), streptolysin O (SLO), streptodornase (DNase), and NAD-glycohydrolase (NADase). Methods: Conserved sequences were screened using the Protein Variability Server. CTL epitopes were predicted using Immune Epitope Database (IEDB) tools based on MHC class I binding affinity (IC50 500 nM), proteasomal processing, and TAP transport efficiency. Prioritization was given to non-allergenic, non-toxic, and non-cross-reactive epitopes to ensure safety. The selected epitopes were assembled into a multi-epitope vaccine construct, followed by the prediction, refinement, and validation of its secondary and tertiary structures. Results: Population coverage analysis revealed high global HLA allele representation, with SLO-derived epitopes achieving the broadest worldwide population coverage (91.07%). Molecular docking and thermodynamic analysis validated strong, stable HLA-epitope interactions, with Delta G values ranging from -8.6 to -12. kcal/mol and dissociation constants (KD) ≤ 8.8×10-7M. Secondary structure prediction revealed a stable arrangement with balanced alpha-helices and beta-strands, while tertiary structure modeling and refinement confirmed proper folding and surface accessibility of the epitopes. Conclusion: These findings highlight SLO, SpeB, and NADase as premier antigenic sources for epitope-based vaccine design. The resulting epitope set demonstrates promising immunogenic potential, safety, and population coverage, necessitating further in vitro and in vivo validation for streptococcal vaccine development.

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Journal
Biomedical Research and Therapy
Published
2026-02-28
DOI
https://doi.org/10.15419/fkjjvx73
Primary Topic
Streptococcal Infections and Treatments
Type
article
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article

In Silico identification of highly conserved CTL epitopes from Streptococcus pyogenes exoenzymes for epitope-based vaccine development

Ryanne Pauline S. Chua, Armin Anthony M. Pepito, Louisse Marianne C. Luna, Danielle Bianca A. Sincioco et al.
Biomedical Research and Therapy
Streptococcal Infections and Treatments
article

In Silico identification of highly conserved CTL epitopes from Streptococcus pyogenes exoenzymes for epitope-based vaccine development

Ryanne Pauline S. Chua, Armin Anthony M. Pepito, Louisse Marianne C. Luna, Danielle Bianca A. Sincioco, Edward Kevin B. Bragais, Paul Daniel N. Navarro
article en

Abstract

Background: Streptococcus pyogenes represents a major global health concern attributable to its extensive repertoire of virulence factors, which contribute to severe diseases, most notably streptococcal pharyngitis. To facilitate the development of a safer, more targeted vaccine, this study employed a comprehensive in silico immunoinformatics approach to identify highly conserved cytotoxic T-lymphocyte (CTL) epitopes from five critical exoenzymes: SpeB, mitogenic factor (MF), streptolysin O (SLO), streptodornase (DNase), and NAD-glycohydrolase (NADase). Methods: Conserved sequences were screened using the Protein Variability Server. CTL epitopes were predicted using Immune Epitope Database (IEDB) tools based on MHC class I binding affinity (IC50 500 nM), proteasomal processing, and TAP transport efficiency. Prioritization was given to non-allergenic, non-toxic, and non-cross-reactive epitopes to ensure safety. The selected epitopes were assembled into a multi-epitope vaccine construct, followed by the prediction, refinement, and validation of its secondary and tertiary structures. Results: Population coverage analysis revealed high global HLA allele representation, with SLO-derived epitopes achieving the broadest worldwide population coverage (91.07%). Molecular docking and thermodynamic analysis validated strong, stable HLA-epitope interactions, with Delta G values ranging from -8.6 to -12. kcal/mol and dissociation constants (KD) ≤ 8.8×10-7M. Secondary structure prediction revealed a stable arrangement with balanced alpha-helices and beta-strands, while tertiary structure modeling and refinement confirmed proper folding and surface accessibility of the epitopes. Conclusion: These findings highlight SLO, SpeB, and NADase as premier antigenic sources for epitope-based vaccine design. The resulting epitope set demonstrates promising immunogenic potential, safety, and population coverage, necessitating further in vitro and in vivo validation for streptococcal vaccine development.

Biomedical Research and TherapyVol. 13(02)
University of the Philippines System (PH), Ateneo de Manila University (PH)
Zero hunger
Openalex Percentile: Top 35%
Streptococcal Infections and Treatments
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