AntigenBoost: enhanced mRNA-based antigen expression through rational amino acid substitution
- PMID: 39400114
- PMCID: PMC11472322
- DOI: 10.1093/bib/bbae468
AntigenBoost: enhanced mRNA-based antigen expression through rational amino acid substitution
Abstract
Messenger RNA (mRNA) vaccines represent a groundbreaking advancement in immunology and public health, particularly highlighted by their role in combating the COVID-19 pandemic. Optimizing mRNA-based antigen expression is a crucial focus in this emerging industry. We have developed a bioinformatics tool named AntigenBoost to address the challenge posed by destabilizing dipeptides that hinder ribosomal translation. AntigenBoost identifies these dipeptides within specific antigens and provides a range of potential amino acid substitution strategies using a two-dimensional scoring system. Through a combination of bioinformatics analysis and experimental validation, we significantly enhanced the in vitro expression of mRNA-derived Respiratory Syncytial Virus fusion glycoprotein and Influenza A Hemagglutinin antigen. Notably, a single amino acid substitution improved the immune response in mice, underscoring the effectiveness of AntigenBoost in mRNA vaccine design.
Keywords: amino acid substitution; mRNA optimization; mRNA vaccine and therapeutics; nascent peptides.
© The Author(s) 2024. Published by Oxford University Press.
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