The company has developed a proprietary AI-based structure and function optimization platform (YS-Bioinfo). By employing data-driven deep learning methods, it accelerates synthetic biology R&D by transforming the process into a predictable and programmable workflow, enabling rapid scaling of laboratory discoveries to industrial applications.

YS-Enzyme is YSBIOTECH's proprietary enzyme function model, distinguished in the industry for its robust capabilities and broad applicability.

The YS-Metabolism platform builds upon the metabolic networks of chassis cells. It designs genetic circuits for target products, employs efficient gene-editing tools to modify or reconstruct metabolic pathways, and integrates dynamic regulation strategies for material and energy flows. This enables the construction of high-efficiency "cell factories" for optimized synthesis of target compounds.

We integrate artificial intelligence and biocomputing to develop four robust industrial chassis systems, including E. coli and yeast, enabling efficient, stable, and high-yield expression of target proteins. The process from project initiation to pilot-scale production can be completed in just 10 to 12 months.

我们融合人工智能与生物计算，通过多维度理性设计及百万级干实验筛选功效蛋白序列。依托高效CRISPR编辑、蛋白酶敲除、糖基化改造等多项手段，打造大肠杆菌、酵母等四大强大工业底盘，实现目标蛋白的高效、稳定、高产表达。从立项到中试仅需10-12个月完成。