Evidence map›Paper›PMID 22285518›Full record

ArticleJournal of molecular biology2012

Protein structure determination from pseudocontact shifts using ROSETTA.

Christophe Schmitz, Robert Vernon, Gottfried Otting, David Baker, Thomas Huber

Abstract read
In one paragraph

Article in Journal of molecular biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Recent Advances in NMR Protein Structure Prediction with ROSETTA.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Incorporation of residual chemical shift anisotropy into the treatment ofJournal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Methods for Molecular Modelling of Protein Complexes.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  16. Paramagnetic NMR in drug discovery.Journal of biomolecular NMR · 2020
    Review
  17. Review
  18. Review
  19. Review
  20. Article
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

5 authors.

Christophe SchmitzSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4072, Australia.
Robert Vernon
Gottfried Otting
David Baker
Thomas Huber

Funding

High resolution structure modeling with RosettaR01GM092802 · NIGMS · UNIVERSITY OF WASHINGTON · PI BAKER, DAVID · 2010 to 2017
$2.3M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM092802
6 · The paper itself

Abstract

Paramagnetic metal ions generate pseudocontact shifts (PCSs) in nuclear magnetic resonance spectra that are manifested as easily measurable changes in chemical shifts. Metals can be incorporated into proteins through metal binding tags, and PCS data constitute powerful long-range restraints on the positions of nuclear spins relative to the coordinate system of the magnetic susceptibility anisotropy tensor (Δχ-tensor) of the metal ion. We show that three-dimensional structures of proteins can reliably be determined using PCS data from a single metal binding site combined with backbone chemical shifts. The program PCS-ROSETTA automatically determines the Δχ-tensor and metal position from the PCS data during the structure calculations, without any prior knowledge of the protein structure. The program can determine structures accurately for proteins of up to 150 residues, offering a powerful new approach to protein structure determination that relies exclusively on readily measurable backbone chemical shifts and easily discriminates between correctly and incorrectly folded conformations.

Indexed as

AnisotropyMagneticsMetalsModels, MolecularNuclear Magnetic Resonance, BiomolecularProtein ConformationProtein FoldingProteinsMetalsProteins

Identifiers

PMID22285518
PMCPMC3638895

What OpenQuestion holds

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Registered trials

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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.