Evidence map›Paper›PMID 30344107›Full record

ArticleStructure (London, England : 1993)2019

Automatically Fixing Errors in Glycoprotein Structures with Rosetta.

Brandon Frenz, Sebastian Rämisch, Andrew J Borst, Alexandra C Walls, Jared Adolf-Bryfogle, William R Schief, David Veesler, Frank DiMaio

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed.

  1. Article
  2. Article
  3. TMPRSS2-mediated coronavirus spike activation and inhibition.Nature structural & molecular biology · 2026
    Article
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Computational design of prefusion-stabilized Herpesvirus gB trimers.bioRxiv : the preprint server for biology · 2024
    Article
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Brandon FrenzDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA.
Sebastian RämischDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
Andrew J BorstDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Alexandra C WallsDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Jared Adolf-BryfogleDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
William R SchiefDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
David VeeslerDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Frank DiMaioDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA. Electronic address: dimaio@uw.edu.

Funding

Support Component D/Vaccine Discovery, Concept to ClinicUM1AI100663 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BAROUCH, DAN H. · 2012 to 2018
$131.5M
Structure based design of antibodies and vaccinesU19AI117905 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHIEF, WILLIAM R. · 2015 to 2019
$12.0M
PATHOGENESIS AND IMMUNOLOGY OF DISEASET32AI007244 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI NEMAZEE, DAVID · 1985 to 2022
$8.8M
TRAINING IN MOLECULAR BIOPHYSICST32GM008268 · NIGMS · UNIVERSITY OF WASHINGTON · PI KOLLMAN, JUSTIN M, ZHENG, NING · 1988 to 2023
$8.6M
Glycan dependent epitopes of HIV broadly neutralizing antibodiesR01AI113867 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI PAULSON, JAMES C, SCHIEF, WILLIAM R. · 2014 to 2018
$4.8M
Protein structure determination from low-resolution experimental dataR01GM123089 · NIGMS · UNIVERSITY OF WASHINGTON · PI DIMAIO, FRANK P · 2017 to 2025
$2.6M
Structural Studies of Coronavirus Fusion ProteinsR01GM120553 · NIGMS · UNIVERSITY OF WASHINGTON · PI VEESLER, DAVID · 2016 to 2020
$1.7M
NIAID NIH HHS HHSN272201700059CNIAID NIH HHS R01 AI113867NIAID NIH HHS T32 AI007244NIAID NIH HHS U19 AI117905NIAID NIH HHS UM1 AI100663NIGMS NIH HHS R01 GM120553NIGMS NIH HHS R01 GM123089NIGMS NIH HHS T32 GM008268
6 · The paper itself

Abstract

Recent advances in single-particle cryo-electron microscopy (cryoEM) have resulted in determination of an increasing number of protein structures with resolved glycans. However, existing protocols for the refinement of glycoproteins at low resolution have failed to keep up with these advances. As a result, numerous deposited structures contain glycan stereochemical errors. Here, we describe a Rosetta-based approach for both cryoEM and X-ray crystallography refinement of glycoproteins that is capable of correcting conformational and configurational errors in carbohydrates. Building upon a previous Rosetta framework, we introduced additional features and score terms enabling automatic detection, setup, and refinement of glycan-containing structures. We benchmarked this approach using 12 crystal structures and showed that glycan geometries can be automatically improved while maintaining good fit to the crystallographic data. Finally, we used this method to refine carbohydrates of the human coronavirus NL63 spike glycoprotein and of an HIV envelope glycoprotein, demonstrating its usefulness for cryoEM refinement.

Indexed as

Coronavirus NL63, HumanCryoelectron MicroscopyCrystallography, X-RayGlycoproteinsHIVMolecular Dynamics SimulationSoftwareViral ProteinsGlycoproteinsViral ProteinscryoEMglycansglycoproteinsrefinement

Identifiers

PMID30344107
PMCPMC6616339

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.