NTSR
AI-driven codon optimization algorithms to maximize protein expression across bacterial, yeast, insect, and mammalian systems.
Codon optimization is the process of modifying a DNA sequence to maximize the expression of a protein in a specific host organism without changing the amino acid sequence. NTSR utilizes sophisticated AI-driven algorithms that go beyond simple Codon Adaptation Index (CAI) scores. Our platform considers mRNA secondary structures, GC content, cryptic splice sites, and translational kinetics to ensure peak performance in your target expression system.
Proprietary deep-learning model that predicts translational efficiency across bacterial and mammalian cells.
Focuses on eliminating complex mRNA secondary structures that can cause translational stalling or termination.
Optimizes sequences for balanced expression across multiple hosts (e.g., E. coli and CHO cells simultaneously).
| Host System | Key Factors Optimized | Expected Increase | Processing Time |
|---|---|---|---|
| E. coli / Bacteria | Rare codonds & GC Balance | 3x - 10x | < 24 Hours |
| Mammalian (CHO/HEK) | CpG Islands & Splicing | 2x - 5x | < 24 Hours |
| Yeast / Pichia | Codon Bias & AT Richness | 2x - 8x | < 24 Hours |
| Insect (Sf9/Sf21) | Translational Initiation | 3x - 6x | < 24 Hours |