Login / Signup

Automated Glycan Assembly: A Perspective.

Mónica GubermanPeter H Seeberger
Published in: Journal of the American Chemical Society (2019)
The intrinsic complexity of carbohydrate structures has hampered access to pure glycans and hence impeded progress in the glycosciences. Automated Glycan Assembly (AGA) has facilitated the procurement of synthetic glycans, to be used in diagnostics, vaccine development, enzyme characterization and structure-function relationship studies. A general approach for obtaining complex glycans from mammalian, bacterial, fungal and plant classes provides molecular tools for glycobiology research. Recent advances in AGA technology pave the way for the production of novel carbohydrate materials. This perspective describes the state-of-the art of AGA and aspects of the technology where additional improvements are needed.
Keyphrases
  • cell surface
  • deep learning
  • machine learning
  • high throughput
  • high resolution
  • cell wall
  • single molecule
  • case control