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Multi-target Parallel Processing Approach for Gene-to-structure Determination of the Influenza Polymerase PB2 Subunit
Published on: June 28, 2013
Targeting Streptococcus pyogenes atpF protein for multi-epitope vaccine development: a genomics-driven
Manisha Agarwal1, Sanjeeb Handique1, Sanchaita Rajkhowa1
1Centre for Biotechnology and Bioinformatics, Dibrugarh University, Dibrugarh 786004 Assam, India.
Abstract:
Streptococcus pyogenes, a medium-priority pathogen on the WHO's 2024 Bacterial Pathogen Priority List, is a major cause of infectious disease-related mortality. The increasing prevalence of antibiotic resistance, coupled with the absence of a licensed vaccine due to the pathogen's genetic diversity and autoimmune concerns, underscores the need for novel therapeutic strategies. This study employs reverse vaccinology and subtractive proteomics to design a multi-epitope vaccine targeting atpF, a conserved extracellular protein essential for ATP synthesis. The atpF protein was identified based on its high antigenicity and functional importance in S. pyogenes. Three vaccine constructs (SM1, SM2, and SM3) were designed by integrating antigenic B-cell and T-cell epitopes with immune-modulating adjuvants and linkers. Physicochemical and immunological assessments confirmed their stability, solubility, and antigenicity. Molecular modeling identified SM1 as the most promising candidate, demonstrating superior immune receptor binding affinity and flexible epitope interactions, facilitating effective antibody recognition. In silico immune simulations further demonstrated SM1's potential to elicit strong humoral and cellular immune responses, while codon optimization confirmed efficient expression in E. coli. These findings introduce atpF as a promising vaccine target and highlight SM1's potential as a viable vaccine candidate. However, experimental validation is essential to confirm its efficacy, safety, and immunogenicity in vivo. This study underscores the role of computational modeling in accelerating vaccine development, providing a strategic alternative to traditional approaches.
Insights
This study developed a novel multi-epitope vaccine targeting Streptococcus pyogenes using computational methods. The SM1 vaccine candidate shows promise for eliciting strong immune responses against this priority pathogen.
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.
