Evidence map›Paper›PMID 31518351›Full record

ArticlePloS one2019

Upgraded molecular models of the human KCNQ1 potassium channel.

Georg Kuenze, Amanda M Duran, Hope Woods, Kathryn R Brewer, Eli Fritz McDonald, Carlos G Vanoye, Alfred L George, Charles R Sanders, Jens Meiler

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
5.6field-weighted citation impact, top 3% 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, 42 citations in OpenAlex.

  1. Voltage-sensor conformational microenvironments encode isoform-selective ion channel activation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. A novel link betweenBiomedical reports · 2025
    Article
  3. Article
  4. NovelFrontiers in physiology · 2024
    Article
  5. Article
  6. Mutation-Specific Differences in Kv7.1 (International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. Gain of function due to increased opening probability by twoProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. A benzodiazepine activator locks KCommunications biology · 2022
    Article
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  20. Physical and functional interaction sites in cytoplasmic domains of KCNQ1 and KCNE1 channel subunits.American journal of physiology. Heart and circulatory physiology · 2020
    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

9 authors at 2 institutions in 1 country.

Georg KuenzeCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0003-1799-346X
Amanda M DuranCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.
Hope WoodsCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0001-6615-545X
Kathryn R BrewerCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0001-7003-2938
Eli Fritz McDonaldCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.
Carlos G VanoyeDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
Alfred L GeorgeDepartment of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
Charles R SandersCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.
Jens MeilerCenter for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.
Vanderbilt University · USNorthwestern University · US

Funding

Decrypting Variants of Uncertain Significance in Long-QT SyndromeR01HL122010 · NHLBI · VANDERBILT UNIVERSITY · PI GEORGE, ALFRED L., SANDERS, CHARLES R · 2014 to 2025
$15.5M
MOLECULAR BIOPHYSICS TRAINING PROGRAM AT VANDERBILTT32GM008320 · NIGMS · VANDERBILT UNIVERSITY · PI CHAZIN, WALTER J. · 1989 to 2023
$7.9M
Chemistry-Biology Interface Training GrantT32GM065086 · NIGMS · VANDERBILT UNIVERSITY · PI BACHMANN, BRIAN O, SULIKOWSKI, GARY ALLEN · 2002 to 2022
$7.0M
Membrane Protein Structure Elucidation from sparse NMR data (KAMP)R01GM080403 · NIGMS · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2007 to 2019
$3.0M
NHLBI NIH HHS R01 HL122010NIGMS NIH HHS R01 GM080403NIGMS NIH HHS T32 GM008320NIGMS NIH HHS T32 GM065086
6 · The paper itself

Abstract

The voltage-gated potassium channel KCNQ1 (KV7.1) assembles with the KCNE1 accessory protein to generate the slow delayed rectifier current, IKS, which is critical for membrane repolarization as part of the cardiac action potential. Loss-of-function (LOF) mutations in KCNQ1 are the most common cause of congenital long QT syndrome (LQTS), type 1 LQTS, an inherited genetic predisposition to cardiac arrhythmia and sudden cardiac death. A detailed structural understanding of KCNQ1 is needed to elucidate the molecular basis for KCNQ1 LOF in disease and to enable structure-guided design of new anti-arrhythmic drugs. In this work, advanced structural models of human KCNQ1 in the resting/closed and activated/open states were developed by Rosetta homology modeling guided by newly available experimentally-based templates: X. leavis KCNQ1 and various resting voltage sensor structures. Using molecular dynamics (MD) simulations, the capacity of the models to describe experimentally established channel properties including state-dependent voltage sensor gating charge interactions and pore conformations, PIP2 binding sites, and voltage sensor-pore domain interactions were validated. Rosetta energy calculations were applied to assess the utility of each model in interpreting mutation-evoked KCNQ1 dysfunction by predicting the change in protein thermodynamic stability for 50 experimentally characterized KCNQ1 variants with mutations located in the voltage-sensing domain. Energetic destabilization was successfully predicted for folding-defective KCNQ1 LOF mutants whereas wild type-like mutants exhibited no significant energetic frustrations, which supports growing evidence that mutation-induced protein destabilization is an especially common cause of KCNQ1 dysfunction. The new KCNQ1 Rosetta models provide helpful tools in the study of the structural basis for KCNQ1 function and can be used to generate hypotheses to explain KCNQ1 dysfunction.

Indexed as

Models, MolecularHumansHydrogen BondingKCNQ1 Potassium ChannelLipidsLoss of Function MutationMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein ConformationStructure-Activity RelationshipKCNQ1 Potassium ChannelKCNQ1 protein, humanLipids

Identifiers

PMID31518351
PMCPMC6743773
OpenAlexW2973144511

What OpenQuestion holds

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LicenceCC BY
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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.