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November 12, 2025Nature CommunicationsOpen Access

Deep generative optimization of mRNA codon sequences for enhanced mRNA translation and therapeutic efficacy

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Authors

YLYupeng LiFWFan WangJYJiaqi Yang

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Overview

Deep learning approach enhances mRNA therapeutics, improving protein expression in models, suggesting novel applications.

Key Points

  • The research aims to enhance mRNA therapeutics by optimizing codon sequences using a deep learning framework.
  • Developed RiboDecode, a deep learning tool for mRNA codon optimization.
  • Analyzed ribosome profiling data and performed generative exploration of sequence space.
  • Conducted in vitro and in vivo experiments to assess protein expression and therapeutic effects.
  • In vitro studies showed significantly improved protein expression compared to conventional methods.
  • In vivo studies demonstrated stronger antibody responses against influenza and effective neuroprotection of retinal cells.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/692523cec0ce034ddc355376https://doi.org/10.1038/s41467-025-64894-x
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Also Consider

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  1. 1Deep Generative Optimization of mRNA Codon Sequences for Enhanced Protein Production and Therapeutic Efficacy2024 · 3 citations
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  5. 5Multi-seed searching algorithm for integrated codon optimization of mRNA stability and translational efficiency in vaccine design.2026