Evidence map›Paper›PMID 26727467›Full record

ArticlePLoS computational biology2016

Hydrodynamic Radii of Intrinsically Disordered Proteins Determined from Experimental Polyproline II Propensities.

Maria E Tomasso, Micheal J Tarver, Deepa Devarajan, Steven T Whitten

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. ParSe 2.0: A web tool to identify drivers of protein phase separation at the proteome level.Protein science : a publication of the Protein Society · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Hidden dynamic signatures drive substrate selectivity in the disordered phosphoproteome.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Article
  19. 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

4 authors.

Maria E TomassoDepartment of Chemistry and Biochemistry, Texas State University, San Marcos, Texas, United States of America.
Micheal J TarverDepartment of Chemistry and Biochemistry, Texas State University, San Marcos, Texas, United States of America.
Deepa DevarajanDepartment of Chemistry and Biochemistry, Texas State University, San Marcos, Texas, United States of America.
Steven T WhittenDepartment of Chemistry and Biochemistry, Texas State University, San Marcos, Texas, United States of America.

Funding

Quantitative Description of Phosphorylation Effects on Disordered Protein StructureR15GM115603 · NIGMS · TEXAS STATE UNIVERSITY · PI WHITTEN, STEVEN T · 2015 to 2015
$336k
NIGMS NIH HHS R15 GM115603NIGMS NIH HHS R15GM115603
6 · The paper itself

Abstract

The properties of disordered proteins are thought to depend on intrinsic conformational propensities for polyproline II (PPII) structure. While intrinsic PPII propensities have been measured for the common biological amino acids in short peptides, the ability of these experimentally determined propensities to quantitatively reproduce structural behavior in intrinsically disordered proteins (IDPs) has not been established. Presented here are results from molecular simulations of disordered proteins showing that the hydrodynamic radius (Rh) can be predicted from experimental PPII propensities with good agreement, even when charge-based considerations are omitted. The simulations demonstrate that Rh and chain propensity for PPII structure are linked via a simple power-law scaling relationship, which was tested using the experimental Rh of 22 IDPs covering a wide range of peptide lengths, net charge, and sequence composition. Charge effects on Rh were found to be generally weak when compared to PPII effects on Rh. Results from this study indicate that the hydrodynamic dimensions of IDPs are evidence of considerable sequence-dependent backbone propensities for PPII structure that qualitatively, if not quantitatively, match conformational propensities measured in peptides.

Indexed as

Protein Structure, SecondaryComputational BiologyComputer SimulationHydrodynamicsIntrinsically Disordered ProteinsModels, MolecularPeptidesIntrinsically Disordered ProteinsPeptidespolyproline

Identifiers

PMID26727467
PMCPMC4699819

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.