Evidence map›Paper›PMID 23868852›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

NMR paves the way for atomic level descriptions of sparsely populated, transiently formed biomolecular conformers.

Ashok Sekhar, Lewis E Kay

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.

0numbers the graph read from it
0cells of the map it votes in
126citing 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

126 citing papers in PubMed.

  1. Article
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  3. Solvation Energetic Costs of Cognate Binding Site Formation.Journal of chemical information and modeling · 2025
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  8. Review
  9. Mapping the FF domain folding pathway via structures of transiently populated folding intermediates.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
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  13. Article
  14. Article
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  16. Review
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  20. Article

66 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

2 authors.

Ashok SekharDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada M5S 1A8.
Lewis E Kay

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

The importance of dynamics to biomolecular function is becoming increasingly clear. A description of the structure-function relationship must, therefore, include the role of motion, requiring a shift in paradigm from focus on a single static 3D picture to one where a given biomolecule is considered in terms of an ensemble of interconverting conformers, each with potentially diverse activities. In this Perspective, we describe how recent developments in solution NMR spectroscopy facilitate atomic resolution studies of sparsely populated, transiently formed biomolecular conformations that exchange with the native state. Examples of how this methodology is applied to protein folding and misfolding, ligand binding, and molecular recognition are provided as a means of illustrating both the power of the new techniques and the significant roles that conformationally excited protein states play in biology.

Indexed as

Protein ConformationProtein FoldingProtein Structure, TertiaryCalciumCalmodulinModels, MolecularNuclear Magnetic Resonance, BiomolecularProtein BindingProto-Oncogene Proteins c-fynReproducibility of Resultssrc Homology DomainsCalciumCalmodulinProto-Oncogene Proteins c-fynenergy landscapeinvisible statesstructure–function paradigmtransiently and sparsely populated biomolecular states

Identifiers

PMID23868852
PMCPMC3740838

What OpenQuestion holds

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Read underepoch 390

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.