Evidence map›Paper›PMID 18762865›Full record

ArticleJournal of biomolecular NMR2008

Direct methods and residue type specific isotope labeling in NMR structure determination and model-driven sequential assignment.

Andreas Schedlbauer, Renate Auer, Karin Ledolter, Martin Tollinger, Karin Kloiber, Roman Lichtenecker, Simon Ruedisser, Ulrich Hommel, Walther Schmid, Robert Konrat and 1 more

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In one paragraph

Article in Journal of biomolecular NMR, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Structure-oriented methods for protein NMR data analysis.Progress in nuclear magnetic resonance spectroscopy · 2010
    Review
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

11 authors.

Andreas SchedlbauerInstitute of Biomolecular Structural Chemistry, Max F. Perutz Laboratories, University of Vienna, Campus Vienna Biocenter 5/1, Vienna, Austria.
Renate Auer
Karin Ledolter
Martin Tollinger
Karin Kloiber
Roman Lichtenecker
Simon Ruedisser
Ulrich Hommel
Walther Schmid
Robert Konrat
Georg Kontaxis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct methods in NMR based structure determination start from an unassigned ensemble of unconnected gaseous hydrogen atoms. Under favorable conditions they can produce low resolution structures of proteins. Usually a prohibitively large number of NOEs is required, to solve a protein structure ab-initio, but even with a much smaller set of distance restraints low resolution models can be obtained which resemble a protein fold. One problem is that at such low resolution and in the absence of a force field it is impossible to distinguish the correct protein fold from its mirror image. In a hybrid approach these ambiguous models have the potential to aid in the process of sequential backbone chemical shift assignment when (13)C(beta) and (13)C' shifts are not available for sensitivity reasons. Regardless of the overall fold they enhance the information content of the NOE spectra. These, combined with residue specific labeling and minimal triple-resonance data using (13)C(alpha) connectivity can provide almost complete sequential assignment. Strategies for residue type specific labeling with customized isotope labeling patterns are of great advantage in this context. Furthermore, this approach is to some extent error-tolerant with respect to data incompleteness, limited precision of the peak picking, and structural errors caused by misassignment of NOEs.

Indexed as

ButyratesHemiterpenesIsotope LabelingKeto AcidsModels, MolecularMolecular StructureNuclear Magnetic Resonance, BiomolecularProtein ConformationProteinsalpha-ketobutyric acidalpha-ketoisovalerateButyratesHemiterpenesKeto AcidsProteins

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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.