Evidence map›Paper›PMID 26745422›Full record

ArticleBiophysical journal2016

Anisotropic Membrane Curvature Sensing by Amphipathic Peptides.

Jordi Gómez-Llobregat, Federico Elías-Wolff, Martin Lindén

Erratum issuedAbstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
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  6. Review
  7. Article
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  10. Article
  11. Article
  12. Molecular Dynamics Simulations of Curved Lipid Membranes.International journal of molecular sciences · 2022
    Review
  13. Review
  14. Article
  15. Article
  16. Mechanisms of negative membrane curvature sensing and generation by ESCRT III subunit Snf7.Protein science : a publication of the Protein Society · 2020
    Article
  17. Article
  18. Article
  19. The plasma membrane as a mechanochemical transducer.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jordi Gómez-LlobregatCenter for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden. Electronic address: jgomez@turbula.es.
Federico Elías-WolffCenter for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden. Electronic address: federico.elias.wolff@dbb.su.se.
Martin LindénDepartment of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden. Electronic address: martin.linden@icm.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many proteins and peptides have an intrinsic capacity to sense and induce membrane curvature, and play crucial roles for organizing and remodeling cell membranes. However, the molecular driving forces behind these processes are not well understood. Here, we describe an approach to study curvature sensing by simulating the interactions of single molecules with a buckled lipid bilayer. We analyze three amphipathic antimicrobial peptides, a class of membrane-associated molecules that specifically target and destabilize bacterial membranes, and find qualitatively different sensing characteristics that would be difficult to resolve with other methods. Our findings provide evidence for direction-dependent curvature sensing mechanisms in amphipathic peptides and challenge existing theories of hydrophobic insertion. The buckling approach is generally applicable to a wide range of curvature-sensing molecules, and our results provide strong motivation to develop new experimental methods to track position and orientation of membrane proteins.

Indexed as

Hydrophobic and Hydrophilic InteractionsAnisotropyAntimicrobial Cationic PeptidesBiomechanical PhenomenaCell MembraneMolecular Dynamics SimulationProtein Structure, SecondaryThermodynamicsAntimicrobial Cationic Peptides

Identifiers

PMID26745422
PMCPMC4806213

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.