2017
DOI: 10.1016/j.sbi.2016.11.011
|View full text |Cite
|
Sign up to set email alerts
|

Carbohydrate structure: the rocky road to automation

Abstract: With the introduction of intuitive graphical software, structural biologists who are not experts in crystallography are now able to build complete protein or nucleic acid models rapidly. In contrast, carbohydrates are in a wholly different situation: scant automation exists, with manual building attempts being sometimes toppled by incorrect dictionaries or refinement problems. Sugars are the most stereochemically complex family of biomolecules and, as pyranose rings, have clear conformational preferences. Desp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
28
0
1

Year Published

2017
2017
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 37 publications
(29 citation statements)
references
References 56 publications
0
28
0
1
Order By: Relevance
“…The work described here is motivated to help to tackle the challenge of accurately interpreting both crystallographic and cryo-EM maps of glycans and in part to address the concerns raised by Agirre et al (2017). The LMA mode is the mode that we imagine that users will find most useful.…”
Section: Discussionmentioning
confidence: 99%
“…The work described here is motivated to help to tackle the challenge of accurately interpreting both crystallographic and cryo-EM maps of glycans and in part to address the concerns raised by Agirre et al (2017). The LMA mode is the mode that we imagine that users will find most useful.…”
Section: Discussionmentioning
confidence: 99%
“…To gain insight into the architecture of these glycans, we reexamined the previous X-ray diffraction data of the Vp54 crystals (13). In general, crystallographic analysis of carbohydrates is still a challenging task (14), and during the original study, the glycan structures were unknown; as a consequence, fitting potential glycans into the electron density data was performed using sugars now known to be incorrect. Glucosamine (not Glc) was placed near the sites of glycosylation, and Man was used to fill out the interpretable electron densities.…”
mentioning
confidence: 99%
“…In the context of PDB-REDO, however, this process should be achieved in a fully automated and unsupervised manner. This level of automation is not yet available, although steady progress in this direction is being made (Agirre et al, 2017). Overall, glycoprotein structure is not yet optimal, but the improvements discussed here together with the many other developments in the field are moving structural quality in the right direction.…”
Section: Towards Better Carbohydrate Modelsmentioning
confidence: 99%