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Codon Optimization

AI-driven codon optimization algorithms to maximize protein expression across bacterial, yeast, insect, and mammalian systems.

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Computational biology work

Optimization algorithms

AI-Max Expression

Proprietary deep-learning model that predicts translational efficiency across bacterial and mammalian cells.

StructureGuard

Focuses on eliminating complex mRNA secondary structures that can cause translational stalling or termination.

Multi-Host Sync

Optimizes sequences for balanced expression across multiple hosts (e.g., E. coli and CHO cells simultaneously).

Overview

Codon optimization modifies a DNA sequence to maximize protein expression in a specific host organism without changing the amino acid sequence. NTSR uses AI-driven algorithms that consider mRNA secondary structures, GC content, cryptic splice sites, and translational kinetics.

Host system compatibility

Host systemKey factors optimizedExpected increaseProcessing time
E. coli / BacteriaRare codons & GC balance3x – 10x< 24 hours
Mammalian (CHO/HEK)CpG islands & splicing2x – 5x< 24 hours
Yeast / PichiaCodon bias & AT richness2x – 8x< 24 hours
Insect (Sf9/Sf21)Translational initiation3x – 6x< 24 hours

What’s included

  • checkElimination of internal restriction sites
  • checkOptimization of Shine-Dalgarno / Kozak sequences
  • checkSecondary structure prediction & minimization

Common applications

  • chevron_rightRecombinant protein production
  • chevron_rightGene therapy vector design
  • chevron_rightDNA/mRNA vaccine development

Request a Codon Optimization quote

Send your sequence and target host organism and we’ll return an optimized sequence with a quote.

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