Literature DB >> 27940408

Carbohydrate structure: the rocky road to automation.

Jon Agirre1, Gideon J Davies2, Keith S Wilson2, Kevin D Cowtan3.   

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.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27940408     DOI: 10.1016/j.sbi.2016.11.011

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  11 in total

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Authors:  Max Crispin; Andrew B Ward; Ian A Wilson
Journal:  Annu Rev Biophys       Date:  2018-03-29       Impact factor: 12.981

2.  Structure of the chlorovirus PBCV-1 major capsid glycoprotein determined by combining crystallographic and carbohydrate molecular modeling approaches.

Authors:  Cristina De Castro; Thomas Klose; Immacolata Speciale; Rosa Lanzetta; Antonio Molinaro; James L Van Etten; Michael G Rossmann
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-18       Impact factor: 11.205

3.  Structural analysis of glycoproteins: building N-linked glycans with Coot.

Authors:  Paul Emsley; Max Crispin
Journal:  Acta Crystallogr D Struct Biol       Date:  2018-04-06       Impact factor: 7.652

4.  Current developments in Coot for macromolecular model building of Electron Cryo-microscopy and Crystallographic Data.

Authors:  Ana Casañal; Bernhard Lohkamp; Paul Emsley
Journal:  Protein Sci       Date:  2020-03-02       Impact factor: 6.725

5.  A site of vulnerability at V3 crown defined by HIV-1 bNAb M4008_N1.

Authors:  Kun-Wei Chan; Christina C Luo; Hong Lu; Xueling Wu; Xiang-Peng Kong
Journal:  Nat Commun       Date:  2021-11-09       Impact factor: 14.919

6.  Making glycoproteins a little bit sweeter with PDB-REDO.

Authors:  Bart van Beusekom; Thomas Lütteke; Robbie P Joosten
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2018-07-26       Impact factor: 1.056

Review 7.  Novel NMR Avenues to Explore the Conformation and Interactions of Glycans.

Authors:  Pablo Valverde; Jon I Quintana; Jose I Santos; Ana Ardá; Jesús Jiménez-Barbero
Journal:  ACS Omega       Date:  2019-08-19

8.  Automatically Fixing Errors in Glycoprotein Structures with Rosetta.

Authors:  Brandon Frenz; Sebastian Rämisch; Andrew J Borst; Alexandra C Walls; Jared Adolf-Bryfogle; William R Schief; David Veesler; Frank DiMaio
Journal:  Structure       Date:  2018-10-18       Impact factor: 5.006

Review 9.  Three-Dimensional Structures of Carbohydrates and Where to Find Them.

Authors:  Sofya I Scherbinina; Philip V Toukach
Journal:  Int J Mol Sci       Date:  2020-10-18       Impact factor: 5.923

10.  Leveraging glycomics data in glycoprotein 3D structure validation with Privateer.

Authors:  Haroldas Bagdonas; Daniel Ungar; Jon Agirre
Journal:  Beilstein J Org Chem       Date:  2020-10-09       Impact factor: 2.883

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