ArticleMolecular therapy. Nucleic acids2026
Enhancing protein expression in humans through codon optimization with transformer and contrastive learning.
Article in Molecular therapy. Nucleic acids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- From codon optimization to AI-guided sequence design for engineered biological functions.Molecular therapy. Nucleic acids · 2026Article
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8 authors.
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Abstract
Following the success of COVID-19 vaccines and therapies, mRNA-based therapeutics have attracted significant attention. Codon optimization is crucial for improving translation efficiency and mRNA stability, both of which are necessary for developing effective mRNA vaccines and drugs. Traditional approaches often rely on codon usage tables and other frequency-based heuristics, which neglect sequence context and show limited scalability. We introduce COformer, a deep learning framework for codon optimization that captures codon-level features related to protein expression in
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