ArticleBiodesign research2025
DeepCodon: A deep learning codon-optimization model to enhance protein expression.
Article in Biodesign research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- SynBioGPT2: A dynamic reasoning framework enables high-fidelity design of microbial cell factories.Biodesign research · 2026Article
- Toward Rational Design of Precision-Fermented Milk Proteins: Integrating Cross-Species Selection, Post-Translational Modification, and AI Optimization.Comprehensive reviews in food science and food safety · 2026Review
- Transfer learning with pre-trained language models for protein expression level prediction inSynthetic and systems biotechnology · 2026Article
- Unintended Creation or Insertion of Antisense Promoter Motifs During Codon Optimization: A Cyber-Biosecurity Risk.Microorganisms · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Codon optimization enhances heterologous gene expression by modulating synonymous codon usage, a critical task in genetic engineering and synthetic biology. Achieving optimal expression requires balancing multiple interdependent factors, such as host codon bias, GC content and mRNA secondary structure, turning optimization into a challenging multiobjective problem. Here, we introduce DeepCodon, a novel deep learning tool focused on preserving functionally important rare codon clusters, which are often overlooked in previous methods. Using
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.