Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 11256-11259 |
| Number of pages | 4 |
| Journal | Chemical Communications |
| Volume | 58 |
| Issue number | 80 |
| DOIs | |
| State | Published - 8 Sep 2022 |
Bibliographical note
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