Evidence map›Paper›PMID 21731477›Full record

ArticlePLoS computational biology2011

Dynamic structure formation of peripheral membrane proteins.

Diana Morozova, Gernot Guigas, Matthias Weiss

Abstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Structural basis for the geometry-driven localization of a small protein.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  17. Article
  18. Dynamics and instabilities of lipid bilayer membrane shapes.Advances in colloid and interface science · 2014
    Review
  19. Review
  20. Prion protein promotes growth cone development through reggie/flotillin-dependent N-cadherin trafficking.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011
    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

3 authors.

Diana MorozovaCellular Biophysics Group, German Cancer Research Center, Heidelberg, Germany.
Gernot Guigas
Matthias Weiss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using coarse-grained membrane simulations we show here that peripheral membrane proteins can form a multitude of higher-order structures due to membrane-mediated interactions. Peripheral membrane proteins characteristically perturb the lipid bilayer in their vicinity which supports the formation of protein assemblies not only within the same but surprisingly also across opposing leaflets of a bilayer. In addition, we also observed the formation of lipid-protein domains on heteregeneous membranes. The clustering ability of proteins, as quantified via the potential of mean force, is enhanced when radius and hydrophobic penetration depth of the proteins increases. Based on our data, we propose that membrane-mediated cluster formation of peripheral proteins supports protein assembly in vivo and hence may play a pivotal role in the formation of templates for signaling cascades and in the emergence of transport intermediates in the secretory pathway.

Indexed as

Models, BiologicalMolecular Dynamics SimulationCell MembraneCluster AnalysisComputational BiologyHydrophobic and Hydrophilic InteractionsMembrane MicrodomainsMembrane ProteinsMultiprotein ComplexesMembrane ProteinsMultiprotein Complexes

Identifiers

PMID21731477
PMCPMC3121687

What OpenQuestion holds

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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.