Targeting Streptococcus pyogenes atpF protein for multi-epitope vaccine development: a genomics-driven...

Area of Science:

• Microbiology and Immunology
• Vaccine Development
• Computational Biology

Background:

• Streptococcus pyogenes is a high-priority pathogen with increasing antibiotic resistance and no available vaccine.
• Genetic diversity and autoimmune concerns complicate traditional vaccine design for S. pyogenes.

Purpose of the Study:

• To design and computationally evaluate a novel multi-epitope vaccine against Streptococcus pyogenes.
• To identify a conserved, essential protein as a vaccine target.

Main Methods:

• Reverse vaccinology and subtractive proteomics were used to identify the atpF protein.
• Three vaccine constructs (SM1, SM2, SM3) were designed integrating epitopes, adjuvants, and linkers.
• Molecular modeling and in silico immune simulations assessed vaccine candidate efficacy.

Main Results:

• The atpF protein was identified as a conserved, antigenic target.
• SM1 demonstrated superior binding affinity, immune receptor interaction, and potential for strong humoral and cellular immunity.
• Codon optimization confirmed SM1's efficient expression in E. coli.

Conclusions:

• The atpF protein is a promising vaccine target for S. pyogenes.
• The SM1 vaccine construct shows significant potential as a viable candidate.
• Computational modeling accelerates vaccine development, offering an alternative to traditional methods.