Translating solution to solid phase glycosylation conditions.

Yasmeen Bakhatan Dror Ben Abba Amiel Yonatan Sukhran Cheih-Kai Chan Wei-Chih LoPo-Wei LuPin-Hsuan LiaoCheng-Chung Wang Mattan Hurevich

Published in: Chemical communications (Cambridge, England) (2022)

Optimization of glycosylation conditions for automated glycan assembly is highly challenging, demands wasteful use of precious building blocks, and relies on nontrivial analyses. We developed a semi-quantitative method for automated optimization of glycosylation temperature that utilized minute quantities of donors and translated those conditions to solid-phase glycan assembly.

Keyphrases

deep learning
machine learning
high throughput
high resolution
cell surface
solid state