Evidence map›Paper›PMID 12761394›Full record

ArticleProtein science : a publication of the Protein Society2003

Automated protein fold determination using a minimal NMR constraint strategy.

Deyou Zheng, Yuanpeng J Huang, Hunter N B Moseley, Rong Xiao, James Aramini, G V T Swapna, Gaetano T Montelione

Abstract readComparative Study
In one paragraph

Article in Protein science : a publication of the Protein Society, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. A community resource of experimental data for NMR / X-ray crystal structure pairs.Protein science : a publication of the Protein Society · 2016
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Structure-oriented methods for protein NMR data analysis.Progress in nuclear magnetic resonance spectroscopy · 2010
    Review
  16. Article
  17. Review
  18. Article
  19. Unique opportunities for NMR methods in structural genomics.Journal of structural and functional genomics · 2009
    Article
  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

7 authors.

Deyou ZhengCenter for Advanced Biotechnology and Medicine (CABM), Northeast Structural Genomics Consortium, and Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA.
Yuanpeng J Huang
Hunter N B Moseley
Rong Xiao
James Aramini
G V T Swapna
Gaetano T Montelione

Funding

STRUCTURAL GENOMICS OF EUKARYOTIC MODEL ORGANISMSP50GM062413 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MONTELIONE, GAETANO T · 2000 to 2004
$33.5M
NIGMS NIH HHS P50 GM062413NIGMS NIH HHS P50-GM62413
6 · The paper itself

Abstract

Determination of precise and accurate protein structures by NMR generally requires weeks or even months to acquire and interpret all the necessary NMR data. However, even medium-accuracy fold information can often provide key clues about protein evolution and biochemical function(s). In this article we describe a largely automatic strategy for rapid determination of medium-accuracy protein backbone structures. Our strategy derives from ideas originally introduced by other groups for determining medium-accuracy NMR structures of large proteins using deuterated, (13)C-, (15)N-enriched protein samples with selective protonation of side-chain methyl groups ((13)CH(3)). Data collection includes acquiring NMR spectra for automatically determining assignments of backbone and side-chain (15)N, H(N) resonances, and side-chain (13)CH(3) methyl resonances. These assignments are determined automatically by the program AutoAssign using backbone triple resonance NMR data, together with Spin System Type Assignment Constraints (STACs) derived from side-chain triple-resonance experiments. The program AutoStructure then derives conformational constraints using these chemical shifts, amide (1)H/(2)H exchange, nuclear Overhauser effect spectroscopy (NOESY), and residual dipolar coupling data. The total time required for collecting such NMR data can potentially be as short as a few days. Here we demonstrate an integrated set of NMR software which can process these NMR spectra, carry out resonance assignments, interpret NOESY data, and generate medium-accuracy structures within a few days. The feasibility of this combined data collection and analysis strategy starting from raw NMR time domain data was illustrated by automatic analysis of a medium accuracy structure of the Z domain of Staphylococcal protein A.

Indexed as

Protein FoldingAlgorithmsAmino Acid SequenceElectron Spin Resonance SpectroscopyGenomicsModels, MolecularMolecular Sequence DataNuclear Magnetic Resonance, BiomolecularProteinsStaphylococcal Protein ATime FactorsProteinsStaphylococcal Protein A

Identifiers

PMID12761394
PMCPMC2323888

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.