Evidence map›Paper›PMID 30150239›Full record

ArticleThe Journal of general physiology2018

Determining the molecular basis of voltage sensitivity in membrane proteins.

Marina A Kasimova, Erik Lindahl, Lucie Delemotte

Abstract readEvaluation Study
In one paragraph

Article in The Journal of general physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Mitochondrial sAC-cAMP-PKA Axis Modulates the ΔΨInternational journal of molecular sciences · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Predicting voltage sensing.The Journal of general physiology · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Marina A KasimovaDepartment of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden.
Erik LindahlDepartment of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden.
Lucie DelemotteDepartment of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden lucie.delemotte@scilifelab.se.ORCID 0000-0002-0828-3899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Voltage-sensitive membrane proteins are united by their ability to transform changes in membrane potential into mechanical work. They are responsible for a spectrum of physiological processes in living organisms, including electrical signaling and cell-cycle progression. Although the mechanism of voltage-sensing has been well characterized for some membrane proteins, including voltage-gated ion channels, even the location of the voltage-sensing elements remains unknown for others. Moreover, the detection of these elements by using experimental techniques is challenging because of the diversity of membrane proteins. Here, we provide a computational approach to predict voltage-sensing elements in any membrane protein, independent of its structure or function. It relies on an estimation of the propensity of a protein to respond to changes in membrane potential. We first show that this property correlates well with voltage sensitivity by applying our approach to a set of voltage-sensitive and voltage-insensitive membrane proteins. We further show that it correctly identifies authentic voltage-sensitive residues in the voltage-sensor domain of voltage-gated ion channels. Finally, we investigate six membrane proteins for which the voltage-sensing elements have not yet been characterized and identify residues and ions that might be involved in the response to voltage. The suggested approach is fast and simple and enables a characterization of voltage sensitivity that goes beyond mere identification of charges. We anticipate that its application before mutagenesis experiments will significantly reduce the number of potential voltage-sensitive elements to be tested.

Indexed as

Membrane PotentialsMolecular Dynamics SimulationElectricityIon ChannelsIon Channels

Identifiers

PMID30150239
PMCPMC6168238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.