Andon quantifies charged tRNA levels to identify bottlenecks in protein expression, enabling data‑driven optimization of genetic sequences. By measuring tRNA charging, the platform provides actionable insights that guide predictive design of DNA constructs for higher yields in synthetic biology and biomanufacturing. The service supports early‑stage collaborations, offering researchers a measurable approach to improve protein production efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers often lack quantitative data on charged tRNA levels, making it difficult to pinpoint bottlenecks that limit protein expression in biomanufacturing and synthetic biology workflows.
Solution
Andon offers a platform that measures charged tRNA concentrations to identify translational constraints affecting protein yield. The measured data feed predictive sequence design tools that recommend DNA construct modifications for improved expression. By integrating molecular analytics with computational modeling, the platform enables systematic optimization of translation efficiency. This approach helps streamline development cycles for engineered proteins and biologics.
Target Audience
Primary users are biomanufacturing engineers, synthetic biology researchers, and protein production teams seeking to enhance translational efficiency and product yields.
Features
- High-throughput quantification of charged tRNA species across multiple samples
- Data-driven identification of translation bottlenecks limiting protein production
- Predictive sequence design algorithms that suggest codon and construct optimizations
- Integrated workflow linking experimental tRNA measurements to computational modeling
- Compatibility with standard biomanufacturing and synthetic biology pipelines