Search
Close this search box.

Leveraging glycomics data in glycoprotein 3D structure validation

Author(s)

Haroldas Bagdonas, Daniel Ungar, Jon Agirre

Sources

Beilstein Journal of Organic Chemistry 2020, 16, 2523-2533

The heterogeneity, mobility and complexity of glycans in glycoproteins have been, and currently remain, significant challenges in structural biology.
beilstein_j_org_chem-16-2523-g002.jpg
These aspects present unique problems to the two most prolific techniques: X-ray crystallography and cryo-electron microscopy. At the same time, advances in mass spectrometry have made it possible to get deeper insights on precisely the information that is most difficult to recover by structure solution methods: the full-length glycan composition, including linkage details for the glycosidic bonds. The developments have given rise to glycomics. Thankfully, several large scale glycomics initiatives have stored results in publicly available databases, some of which can be accessed through API interfaces. In the present work, we will describe how the Privateer carbohydrate structure validation software has been extended to harness results from glycomics projects, and its use to greatly improve the validation of 3D glycoprotein structures.

Latest news

Glycosaminoglycans (GAGs) are linear acidic polysaccharides, ubiquitous molecules involved in a wide range of biological...

Bacterial biofilms are a prevalent multicellular life form in which individual members can undergo significant...

Milk oligosaccharides, complex carbohydrates unique to mammalian milk, play a crucial role in infant nutrition...

The Protein Data Bank’s (PDB) carbohydrate data clean-up has brought many improvements in the discoverability...