Evidence map›Paper›PMID 18344321›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Dipole tensor-based atomic-resolution structure determination of a nanocrystalline protein by solid-state NMR.

W Trent Franks, Benjamin J Wylie, Heather L Frericks Schmidt, Andrew J Nieuwkoop, Rebecca-Maria Mayrhofer, Gautam J Shah, Daniel T Graesser, Chad M Rienstra

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Article
  2. bioRxiv : the preprint server for biology · 2026
    Article
  3. Conformational Analysis of UniformlyMolecules (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Modeling of Cu(II)-based protein spin labels using rotamer libraries.Physical chemistry chemical physics : PCCP · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. New applications of solid-state NMR in structural biology.Emerging topics in life sciences · 2018
    Article
  13. Solid-State NMR of highlyMethods (San Diego, Calif.) · 2018
    Article
  14. Fast Magic-Angle-SpinningThe journal of physical chemistry. B · 2018
    Article
  15. Xplor-NIH for molecular structure determination from NMR and other data sources.Protein science : a publication of the Protein Society · 2018
    Article
  16. Article
  17. Review
  18. Article
  19. Membrane proteins in their native habitat as seen by solid-state NMR spectroscopy.Protein science : a publication of the Protein Society · 2015
    Review
  20. Review

9 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.

W Trent FranksDepartment of Chemistry, University of Illinois at Urbana-Champaign, 600 South Mathews Avenue, Urbana, IL 61801, USA.
Benjamin J Wylie
Heather L Frericks Schmidt
Andrew J Nieuwkoop
Rebecca-Maria Mayrhofer
Gautam J Shah
Daniel T Graesser
Chad M Rienstra

Funding

Structures of Protein Aggregates by Solid-State NMRR01GM073770 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI RIENSTRA, CHAD M · 2007 to 2014
$2.6M
NIGMS NIH HHS R01 GM073770NIGMS NIH HHS R01GM73770
6 · The paper itself

Abstract

Magic-angle spinning (MAS) solid-state NMR (SSNMR) techniques have emerged in recent years for solving complete structures of uniformly labeled proteins lacking macroscopic order. Strategies used thus far have relied primarily on semiquantitative distance restraints, analogous to the nuclear Overhauser effect (NOE) routinely used in solution NMR. Here, we present a complementary approach for using relative orientations of molecular fragments, determined from dipolar line shapes. Whereas SSNMR distance restraints typically have an uncertainty of approximately 1 A, the tensor-based experiments report on relative vector (pseudobond) angles with precision of a few degrees. By using 3D techniques of this type, vector angle (VEAN) restraints were determined for the majority of the 56-residue B1 immunoglobulin binding domain of protein G [protein GB1 (a total of 47 HN-HN, 49 HN-HC, and 12 HA-HB restraints)]. By using distance restraints alone in the structure calculations, the overall backbone root-mean-square deviation (bbRMSD) was 1.01 +/- 0.13 A (1.52 +/- 0.12 A for all heavy atoms), which improved to 0.49 +/- 0.05 A (1.19 +/- 0.07 A) on the addition of empirical chemical shift [torsion angle likelihood obtained from shift and sequence similarity (TALOS)] restraints. VEAN restraints further improved the ensemble to 0.31 +/- 0.06 A bbRMSD (1.06 +/- 0.07 A); relative to the structure with distances alone, most of the improvement remained (bbRMSD 0.64 +/- 0.09 A; 1.29 +/- 0.07 A) when TALOS restraints were removed before refinement. These results represent significant progress toward atomic-resolution protein structure determination by SSNMR, capabilities that can be applied to a large range of membrane proteins and fibrils, which are often not amenable to solution NMR or x-ray crystallography.

Indexed as

Nuclear Magnetic Resonance, BiomolecularDatabases, ProteinIsotope LabelingNanoparticlesNerve Tissue ProteinsProtein FoldingProtein Structure, TertiaryReproducibility of ResultsThermodynamicsG-substrateNerve Tissue Proteins

Identifiers

PMID18344321
PMCPMC2290771

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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.