Evidence map›Paper›PMID 23028281›Full record

ArticlePLoS computational biology2012

Structural investigation of MscL gating using experimental data and coarse grained MD simulations.

Evelyne Deplazes, Martti Louhivuori, Dylan Jayatilaka, Siewert J Marrink, Ben Corry

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. 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. Mechanosensitive channel MscL gating transitions coupling with constriction point shift.Protein science : a publication of the Protein Society · 2024
    Article
  2. Article
  3. Review
  4. Review
  5. Initiating Coarse-Grained MD Simulations for Membrane-Bound Proteins.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Article
  7. Molecular Paradigms for Biological Mechanosensing.The journal of physical chemistry. B · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

5 authors.

Evelyne DeplazesSchool of Biomedical, Biomolecular and Chemical Sciences, The University of Western Australia, Perth, Australia.
Martti Louhivuori
Dylan Jayatilaka
Siewert J Marrink
Ben Corry

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanosensitive channel of large conductance (MscL) has become a model system in which to understand mechanosensation, a process involved in osmoregulation and many other physiological functions. While a high resolution closed state structure is available, details of the open structure and the gating mechanism remain unknown. In this study we combine coarse grained simulations with restraints from EPR and FRET experiments to study the structural changes involved in gating with much greater level of conformational sampling than has previously been possible. We generated a set of plausible open pore structures that agree well with existing open pore structures and gating models. Most interestingly, we found that membrane thinning induces a kink in the upper part of TM1 that causes an outward motion of the periplasmic loop away from the pore centre. This previously unobserved structural change might present a new mechanism of tension sensing and might be related to a functional role in osmoregulation.

Indexed as

Ion Channel GatingModels, ChemicalMolecular Dynamics SimulationComputer SimulationEscherichia coli ProteinsIon ChannelsMechanotransduction, CellularPorosityProtein ConformationStress, MechanicalStructure-Activity RelationshipEscherichia coli ProteinsIon ChannelsMscL protein, E coli

Identifiers

PMID23028281
PMCPMC3447979

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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.