Highly Efficient Glycosylation Chemistry that Enables Automatic Carbohydrate Synthesis

Inventors: Xu Ma, Liming Zhang, Zhitong Zheng

Background

Carbohydrates serve essential biological functions, and among them, oligosaccharides play a critical role in cell recognition (e.g. blood type recognition) and cell binding. The structural complexity of oligosaccharides independently or with biomolecules (e.g. natural products, lipids, proteins) poses significant challenges to their synthesis and obstructs the analysis of their biological functions. A highly stereoselective construction of 1,2-cis glycosidic bonds that applies to every sugar type has yet to be developed due to the lack of efficient access to oligosaccharides, despite over a century of research in carbohydrate chemistry. Such a construction would allow for the automation of complex carbohydrate synthesis.

Description

Researchers at the University of California, Santa Barbara have developed an efficient synthesis of carbohydrate molecules using a traceless directing group on the anomeric leaving group. Unlike the current construction of 1,2-cis glycosides that is limited to a specific glycosyl donor, this invention employs a traceless directing group and permits a general application to any glycofuranosyl/glycopyranosyl donor. Automatic synthesis of complex carbohydrate molecules using this approach will have significant commercial potential due to glyco-molecules’ critical biological/medical roles in a range of cellular events including combating diseases and viral infections (i.e. COVID-19), and cell-cell recognition. Alternatively, this technology can be developed into marketable glyco-synthesizers by producing more complex and demanding oligosaccharides, similar to the commercial success realized by automatic peptide and nucleic acid synthesis technologies.

Commercial Advantages

General application of glycosylation strategy 

Control of anomeric stereochemistry 

Enables automated carbohydrate synthesis

Applications

Therapeutics/drug screening programs 

Viral infection and disease characterization 

Cell-cell recognition applications