Evidence map›Paper›PMID 24470486›Full record

ArticleThe Journal of general physiology2014

Evolutionary imprint of activation: the design principles of VSDs.

Eugene Palovcak, Lucie Delemotte, Michael L Klein, Vincenzo Carnevale

Abstract read
In one paragraph

Article in The Journal of general physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Voltage-sensing domains: structural and functional diversity.European biophysics journal : EBJ · 2026
    Review
  2. GORK KNature communications · 2025
    Article
  3. Voltage sensors.Molecular pharmacology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Engineering a KNature plants · 2022
    Article
  11. Mechanism of voltage gating in the voltage-sensing phosphatase Ci-VSP.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Complex effects on CaScientific reports · 2022
    Article
  14. Article
  15. Article
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  17. Review
  18. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Eugene PalovcakInstitute for Computational Molecular Science, Temple University, Philadelphia, PA 19122.
Lucie Delemotte
Michael L Klein
Vincenzo Carnevale

Funding

X-ray and Neutron Interferometry Studies of Anesthetic Interactions with VoltageP01GM055876 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LOLL, PATRICK J · 1997 to 2017
$22.4M
NIGMS NIH HHS P01 GM055876NIGMS NIH HHS P01 GM55876
6 · The paper itself

Abstract

Voltage-sensor domains (VSDs) are modular biomolecular machines that transduce electrical signals in cells through a highly conserved activation mechanism. Here, we investigate sequence-function relationships in VSDs with approaches from information theory and probabilistic modeling. Specifically, we collect over 6,600 unique VSD sequences from diverse, long-diverged phylogenetic lineages and relate the statistical properties of this ensemble to functional constraints imposed by evolution. The VSD is a helical bundle with helices labeled S1-S4. Surrounding conserved VSD residues such as the countercharges and the S2 phenylalanine, we discover sparse networks of coevolving residues. Additional networks are found lining the VSD lumen, tuning the local hydrophilicity. Notably, state-dependent contacts and the absence of coevolution between S4 and the rest of the bundle are imprints of the activation mechanism on the VSD sequence ensemble. These design principles rationalize existing experimental results and generate testable hypotheses.

Indexed as

Evolution, MolecularMarkov ChainsAmino Acid SequenceIon Channel GatingIon ChannelsMolecular Sequence DataProtein Structure, TertiaryIon Channels

Identifiers

PMID24470486
PMCPMC4001776

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LicenceCC BY-NC-SA
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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.