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Updated: May 15, 2026
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
MoSAIC: Codon Harmonization of Monte Carlo-Based Simulated Annealing for Linked Codons in Heterologous Protein
Yoonho Jeong1, Chengcheng Yang2, Ryan Fernandez Medina Hariri2
1Department of Chemistry, KAIST, Daejeon 34141, Korea.
ACS Synthetic Biology
|May 14, 2026
Summary
Codon harmonization improves protein expression by optimizing translation speed. A new Monte Carlo algorithm, MoSAiC, enhances linked codon sets for better protein folding and activity, boosting recombinant protein production.
Area of Science:
- Molecular Biology
- Biotechnology
- Computational Biology
Background:
- Codon usage bias significantly affects protein translation efficiency and cotranslational folding.
- Codon harmonization is critical for heterologous recombinant protein expression, especially for proteins sensitive to translation rates.
- Maintaining native translation speeds is key to preserving protein folding and activity.
Purpose of the Study:
- To develop a novel algorithm for codon harmonization focusing on linked codon sets.
- To evaluate the computational performance and effectiveness of the MoSAiC algorithm.
- To demonstrate the potential of linked codon harmonization for enhancing sensitive protein expression.
Main Methods:
- Development of MoSAiC (Monte Carlo-based Simulated Annealing for Linked Codons), a Monte Carlo-based codon harmonization algorithm.
- Application of MoSAiC to harmonize linked codon sets in ribosomal proteins (S18, S15, S10, L11).
- Experimental expression and comparison of harmonized RP S18 gene against the wild-type gene.
Main Results:
- MoSAiC demonstrated robust computational performance on model ribosomal proteins.
- The harmonized RP S18 gene yielded significantly higher protein quantities compared to the wild-type gene.
- A substantial amount of soluble protein was obtained from the harmonized gene expression.
Conclusions:
- The MoSAiC algorithm offers an effective approach for linked codon harmonization.
- Linked codon harmonization can significantly enhance the expression and functionality of sensitive proteins.
- This method holds promise for more efficient recombinant protein production in biotechnology and pharmaceuticals.
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