Evidence map›Paper›PMID 20680402›Full record

ArticleJournal of biomolecular NMR2010

Mapping of protein structural ensembles by chemical shifts.

Kumaran Baskaran, Konrad Brunner, Claudia E Munte, Hans Robert Kalbitzer

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of biomolecular NMR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Pressure dependence of side chainJournal of biomolecular NMR · 2020
    Article
  2. Article
  3. Article
  4. 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

4 authors.

Kumaran BaskaranDepartment of Biophysics and Physical Biochemistry, University of Regensburg, 93040 Regensburg, Federal Republic of Germany.
Konrad Brunner
Claudia E Munte
Hans Robert Kalbitzer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Applying the chemical shift prediction programs SHIFTX and SHIFTS to a data base of protein structures with known chemical shifts we show that the averaged chemical shifts predicted from the structural ensembles explain better the experimental data than the lowest energy structures. This is in agreement with the fact that proteins in solution occur in multiple conformational states in fast exchange on the chemical shift time scale. However, in contrast to the real conditions in solution at ambient temperatures, the standard NMR structural calculation methods as well chemical shift prediction methods are optimized to predict the lowest energy ground state structure that is only weakly populated at physiological temperatures. An analysis of the data shows that a chemical shift prediction can be used as measure to define the minimum size of the structural bundle required for a faithful description of the structural ensemble.

Indexed as

Molecular Dynamics SimulationProtein ConformationAlgorithmsCarbonHydrogenNuclear Magnetic Resonance, BiomolecularProteinsReproducibility of ResultsTemperatureCarbonHydrogenProteins

Identifiers

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.