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Deep generative models design mRNA sequences with enhanced translational capacity and stability.

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GEMORNA, a generative AI model, designs novel messenger RNAs (mRNAs) with improved expression and stability for therapeutic applications. This advanced RNA technology shows significant potential for developing next-generation mRNA therapeutics beyond vaccines.

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Area of Science:

  • Bioengineering
  • Artificial Intelligence
  • Molecular Biology

Background:

  • Messenger RNA (mRNA) technology has proven effective for vaccines but requires optimization for broader therapeutic use.
  • Current mRNA design methods face limitations in enhancing expression and stability for diverse applications.

Purpose of the Study:

  • To introduce GEMORNA, a novel generative AI model for designing enhanced mRNA molecules.
  • To evaluate the performance of GEMORNA-designed mRNAs for therapeutic applications, including protein expression and immunogenicity.

Main Methods:

  • Developed GEMORNA using Transformer architectures for mRNA coding sequences (CDSs) and untranslated regions (UTRs).
  • Tested GEMORNA-designed full-length mRNAs for expression levels using firefly luciferase assays.
  • Assessed GEMORNA-generated therapeutic mRNAs for human erythropoietin (EPO) expression and immunogenicity in vivo.
  • Explored GEMORNA's application in circular RNA design for enhanced EPO expression and CAR-T cell anti-tumor activity.

Main Results:

  • GEMORNA-designed mRNAs showed up to a 41-fold increase in firefly luciferase expression compared to benchmarks.
  • Therapeutic mRNAs designed by GEMORNA achieved up to a 15-fold enhancement in EPO expression.
  • GEMORNA-generated mRNAs elicited significant antibody titers in mice for a COVID vaccine.
  • Enhanced circular RNA expression and boosted anti-tumor cytotoxicity in CAR-T cells were observed.

Conclusions:

  • GEMORNA significantly enhances mRNA expression and stability, demonstrating its potential for novel therapeutic development.
  • The generative AI model shows versatility across different RNA formats (linear and circular) and applications.
  • Deep generative AI holds vast promise for advancing mRNA therapeutics beyond current vaccine applications.