When shifting from plant-based extraction to a fermentation-based production to scale to global demand for their nutraceutical, our partner encountered an enzymatic bottleneck in engineering their yeast host.
Ginkgo Bioworks’ Enzyme Intelligence suite of tools, equipped with AI-guided design and a vast proprietary protein database, engineered an enzyme achieving over 600% performance improvement. This leap in enzyme activity enabled our partner to establish sustainable and efficient production through fermentation, allowing them to meet their market demand.
- Our engineers developed a combinatorial library based on these homologs, using sequence-based statistical models for sequence redesign and scanning mutagenesis of the native enzyme.
- This 3,000-member library was subjected to screening in our yeast host for enzymes with increased activity.
- We iterated on this initial library and carried forward our learnings into additional rounds of protein engineering.
After five cycles of engineering, we identified a sequence that had over 600% improvement in activity. This enzyme showed <80% sequence identity to the original sequence.