mRNA vaccine design targeting Merkel cell polyomavirus for immunotherapy of Merkel cell carcinoma

Akmal Zubair1, Faisal Ahmad2, Muhammad Yaqoob Shahani3

  • 1Department of Biotechnology, Quaid-i-Azam University, Islamabad, Pakistan. akmalkhattk1994@gmail.com.

Scientific Reports
|June 20, 2026
PubMed

Insights

A novel mRNA vaccine targeting Merkel cell polyomavirus (MCPyV) has been developed using computational methods to identify key epitopes. This vaccine shows potential for eliciting immune responses against MCPyV and Merkel cell carcinoma (MCC).

Area of Science:

  • Immunology and Virology
  • Vaccine Development
  • Computational Biology

Background:

  • Merkel cell polyomavirus (MCPyV) causes Merkel cell carcinoma (MCC) following childhood infection.
  • Current therapeutic strategies for MCC are limited, necessitating novel vaccine approaches.
  • MCPyV encodes immunogenic viral proteins, including capsid proteins (VP1, VP2) and T antigens (Large T, small T).

Purpose of the Study:

  • To design and computationally evaluate an mRNA vaccine construct targeting MCPyV.
  • To identify and analyze potential T-cell epitopes for vaccine development.
  • To assess the vaccine construct's stability, immunogenicity, and binding affinity to immune receptors.

Main Methods:

  • In silico epitope prediction for CD4+ helper T lymphocytes (HTLs) and CD8+ cytotoxic T lymphocytes (CTLs).
  • Analysis of predicted epitopes for toxicity, allergenicity, and immunogenicity.
  • Molecular dynamics (MD) simulations, docking studies with TLR3, and MM-GBSA for binding affinity assessment.
  • Codon optimization for enhanced expression in E. coli vectors.

Main Results:

  • A vaccine construct comprising 19 validated epitopes (HTLs and CTLs) was designed.
  • The vaccine construct exhibited favorable physicochemical properties, including increased hydrophilicity (score -8.95) and structural stability (94.6% in allowed Ramachandran regions).
  • High binding affinity to the TLR3 receptor was predicted (docking score -318.56 KJ/mol, confidence 0.9668; MM-GBSA -1500 to -2000 kcal/mol).
  • Codon optimization improved expression potential, evidenced by increased GC content (53.41%).

Conclusions:

  • The computationally designed mRNA vaccine construct shows significant potential for inducing immune responses against MCPyV.
  • The predicted stability, immunogenicity, and receptor binding suggest the vaccine is a promising candidate for further preclinical development.
  • The study supports advancing this MCPyV vaccine candidate to in vitro and in vivo clinical trials.

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