Our Process

Technology

We merge three core disciplines – metabolic engineering, protein engineering, and systems biology – in order to quickly and efficiently generate microbes which produce a variety of plant-based ingredients. Our patented microbial platform has already been optimized for high yield of a common precursor pathway, thus making it simple to pursue new products. The use of modular, reconfigurable, and plug-and-play tools and components further shortens the path to commercialization for new ingredients. In essence, we have created an efficient BioAssemblyLine™ for the low-cost and sustainable production of an array of high value plant natural products.

METABOLIC ENGINEERING – We leverage our deep understanding of microbial metabolism and biochemistry and comprehensive characterization of our microbial platform to efficiently engineer novel strains for production. Knowledge- and data-driven approaches are paired with semi-combinatorial and evolutionary strain construction and screening in order to maximize strain performance.

PROTEIN ENGINEERING – Using our proprietary and patented enzyme engineering tools, we enhance the performance of plant enzymes in our microbial host. Computational modeling and advanced algorithms are used to design semi-combinatorial protein libraries which are then screened within the host to isolate superior variants. We improve enzymes with a variety of biological functions in order to access many diverse products through our BioAssemblyLine™ platform.

SYSTEMS BIOLOGY – Because biology is inherently complex, we have developed a comprehensive strain characterization platform for monitoring biological changes, from the expression of different genes and proteins to the accumulation of various metabolic intermediates. We routinely apply these tools to identify key metabolic bottlenecks and focus our efforts in metabolic and protein engineering. Ultimately, this approach allows us to maximize our success rates and develop strains intelligently and efficiently.

Our technology is protected by 8 granted and 16 pending patents.