Evidence map›Paper›PMID 21296569›Full record

ReviewCurrent opinion in structural biology2011

Working model for the structural basis for KCNE1 modulation of the KCNQ1 potassium channel.

Wade D Van Horn, Carlos G Vanoye, Charles R Sanders

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in structural biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Kv7 Channels in Lung Diseases.Frontiers in physiology · 2020
    Review
  8. Article
  9. Photo-Cross-Linking of IBiophysical journal · 2017
    Article
  10. Are TMCs the Mechanotransduction Channels of Vertebrate Hair Cells?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  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

3 authors at 1 institution in 1 country.

Wade D Van HornDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232-8725, USA.
Carlos G Vanoye
Charles R Sanders
Vanderbilt University · US

Funding

Structural Basis for KCNE Modulation of the KCNQ1 ChannelR01DC007416 · NIDCD · VANDERBILT UNIVERSITY · PI SANDERS, CHARLES R, VANOYE, CARLOS G. · 2006 to 2014
$3.0M
NIDCD NIH HHS R01 DC007416
6 · The paper itself

Abstract

The voltage-gated potassium channel KCNQ1 (Kv7.1) is modulated by KCNE1 (minK) to generate the I(Ks) current crucial to heartbeat. Defects in either protein result in serious cardiac arrhythmias. Recently developed structural models of the open and closed state KCNQ1/KCNE1 complexes offer a compelling explanation for how KCNE1 slows channel opening and provides a platform from which to refine and test hypotheses for other aspects of KCNE1 modulation. These working models were developed using an integrative approach based on results from nuclear magnetic resonance spectroscopy, electrophysiology, biochemistry, and computational methods-an approach that can be applied iteratively for model testing and revision. We present a critical review of these structural models, illustrating the strengths and challenges of the integrative approach.

Indexed as

Models, MolecularComputational BiologyComputer SimulationHumansPotassium Channels, Voltage-GatedProtein ConformationPotassium Channels, Voltage-Gated

Identifiers

PMID21296569
PMCPMC3070781
OpenAlexW1997543160

What OpenQuestion holds

Textmetadata
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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.