Evidence map›Paper›PMID 16766618›Full record

ArticleBiophysical journal2006

Toward an accurate theoretical framework for describing ensembles for proteins under strongly denaturing conditions.

Hoang T Tran, Rohit V Pappu

Abstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
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  9. Decoupling of size and shape fluctuations in heteropolymeric sequences reconciles discrepancies in SAXS vs. FRET measurements.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  10. Comprehensive structural and dynamical view of an unfolded protein from the combination of single-molecule FRET, NMR, and SAXS.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  11. Article
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  15. Single-molecule spectroscopy reveals polymer effects of disordered proteins in crowded environments.Proceedings of the National Academy of Sciences of the United States of America · 2014
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  16. Article
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  18. Review
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  20. Polymer scaling laws of unfolded and intrinsically disordered proteins quantified with single-molecule spectroscopy.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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

2 authors.

Hoang T TranDepartment of Biomedical Engineering and Center for Computational Biology, Washington University in St. Louis, St. Louis, Missouri 63130-4899, USA.
Rohit V Pappu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our focus is on an appropriate theoretical framework for describing highly denatured proteins. In high concentrations of denaturants, proteins behave like polymers in a good solvent and ensembles for denatured proteins can be modeled by ignoring all interactions except excluded volume (EV) effects. To assay conformational preferences of highly denatured proteins, we quantify a variety of properties for EV-limit ensembles of 23 two-state proteins. We find that modeled denatured proteins can be best described as follows. Average shapes are consistent with prolate ellipsoids. Ensembles are characterized by large correlated fluctuations. Sequence-specific conformational preferences are restricted to local length scales that span five to nine residues. Beyond local length scales, chain properties follow well-defined power laws that are expected for generic polymers in the EV limit. The average available volume is filled inefficiently, and cavities of all sizes are found within the interiors of denatured proteins. All properties characterized from simulated ensembles match predictions from rigorous field theories. We use our results to resolve between conflicting proposals for structure in ensembles for highly denatured states.

Indexed as

AlgorithmsModels, ChemicalModels, MolecularProtein DenaturationComputer SimulationMultiprotein ComplexesProtein ConformationProtein FoldingSensitivity and SpecificitySolventsMultiprotein ComplexesSolvents

Identifiers

PMID16766618
PMCPMC1544316

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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.