Develop a novel machine-learning algorithm for predicting element’s performance in synthetic biology. Apply mega data to precisely control element, improve enzyme’s specificity and activity, boost metabolic pathway.
Design and construct a de-novo synthetic pathway of natural products in microbial chassis. Mining the critical enzymes with bioinformatics and omics technology. Rationally design metabolic precursors to generate non-natural analogues. Metabolic engineering synthetic pathway and chassis robust for High titer, yield, and ratio.
Produce high-value nature products and fine chemicals, which are broadly applied in pharmaceutical, food, drink, health care, cosmetics, and textile industry et. We have an AI-assisted high throughput screening pipeline for engineering strain, based on Design-Construct-Learn-Test. We seek industry collaborators to commercialize this technology and products.
