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Hierarchical and Programmable One-Pot Oligosaccharide Synthesis
Published on: September 6, 2019
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Machine-Driven Chemoenzymatic Synthesis of Glycopeptide
Jiabin Zhang1, Ding Liu1, Varma Saikam1
1Department of Chemistry, Georgia State University, Atlanta, GA, 30303, USA.
Angewandte Chemie (International Ed. in English)
|July 18, 2020
Summary
Researchers developed a semiautomated platform for synthesizing glycopeptides using a modified peptide synthesizer. This system integrates chemical peptide synthesis and enzymatic glycan construction in one vessel, advancing biopolymer synthesis.
Area of Science:
- Biotechnology and Synthetic Chemistry
- Glycobiology and Peptide Synthesis
Background:
- Significant advancements in automated synthesis of natural biopolymers like peptides and oligonucleotides have propelled natural science.
- Recent decades have seen breakthroughs in the automated synthesis of complex oligosaccharides.
- Glycopeptides, crucial biomolecules, require efficient synthesis methods.
Purpose of the Study:
- To describe a novel machine-driven platform for glycopeptide synthesis.
- To demonstrate the integration of chemical and enzymatic synthesis steps in a single platform.
- To enable semiautomated glycopeptide synthesis using a reconstructed peptide synthesizer.
Main Methods:
- A reconstructed peptide synthesizer was adapted to create a machine-driven platform.
- Amine-functionalized silica resin was employed as a solid support for synthesis.
- Chemical peptide synthesis was performed in an organic solvent, followed by enzymatic glycan epitope synthesis in an aqueous phase, all within a single reaction vessel.
Main Results:
- The developed platform successfully facilitated both chemical peptide synthesis and enzymatic glycan synthesis.
- The integrated approach within a single reaction vessel demonstrated efficiency.
- Semiautomated synthesis was achieved, reducing manual intervention.
Conclusions:
- The described platform offers a novel approach to glycopeptide synthesis.
- Integrating chemical and enzymatic methods in a single, semiautomated system is feasible and advantageous.
- This advancement holds potential for accelerating research in glycobiology and related fields.

