Agirre, Jon orcid.org/0000-0002-1086-0253, Davies, Gideon J. orcid.org/0000-0002-7343-776X, Wilson, Keith S. orcid.org/0000-0002-3581-2194 et al. (1 more author) (2017) Carbohydrate structure::the rocky road to automation. CURRENT OPINION IN STRUCTURAL BIOLOGY. pp. 39-47. ISSN 0959-440X
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. Despite this, all refinement programs may produce high-energy conformations at medium to low resolution, without any support from the electron density. This problem renders the affected structures unusable in glyco-chemical terms. Bringing structural glycobiology up to ‘protein standards’ will require a total overhaul of the methodology. Time is of the essence, as the community is steadily increasing the production rate of glycoproteins, and electron cryo-microscopy has just started to image them in precisely that resolution range where crystallographic methods falter most.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier Ltd. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Chemistry (York) |
Depositing User: | Pure (York) |
Date Deposited: | 12 Dec 2016 11:28 |
Last Modified: | 16 Oct 2024 13:27 |
Published Version: | https://doi.org/10.1016/j.sbi.2016.10.010 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.sbi.2016.10.010 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109296 |