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Codon Optimization

Codon optimization is essential for maximizing protein expression when transferring genes between organisms. Different hosts have distinct codon usage preferences, and using rare codons can dramatically reduce translation efficiency. AI Scientist provides a suite of codon optimization tools to ensure your constructs are optimized for the target expression system.

Optimize coding sequences for a wide range of expression hosts, including:

  • Bacterial hostsE. coli (multiple strains), Bacillus subtilis, Corynebacterium glutamicum
  • Yeast hostsSaccharomyces cerevisiae, Pichia pastoris
  • Mammalian hosts — CHO, HEK293, and other common cell lines
  • Other hosts — insect cells, plant cells, and additional organisms

The optimizer adjusts codon usage to match the host’s preferred codon table while avoiding sequence features that could interfere with cloning or expression (e.g., internal restriction sites, RNA secondary structures, homopolymer runs).

The Codon Adaptation Index (CAI) provides a quantitative measure of how well-adapted a coding sequence is to the target host. AI Scientist calculates CAI scores for both original and optimized sequences, allowing you to compare improvement and assess expression potential.

Convert a protein sequence into an optimized DNA sequence for your target host. This is particularly useful when:

  • You have a protein sequence from a database (e.g., UniProt) and need a synthetic gene
  • You are designing a protein variant and need the corresponding DNA for synthesis
  • You want to compare codon-optimized versions across multiple hosts

AI Scientist can generate multiple optimization schemes for the same sequence, allowing you to compare trade-offs between CAI score, GC content, and synthesis complexity. Each scheme includes a synthesis readiness assessment that flags potential issues for gene synthesis providers (e.g., extreme GC regions, long repeats, or problematic secondary structures).