Evidence map›Paper›PMID 31235590›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

A heuristic derived from analysis of the ion channel structural proteome permits the rapid identification of hydrophobic gates.

Shanlin Rao, Gianni Klesse, Phillip J Stansfeld, Stephen J Tucker, Mark S P Sansom

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.9field-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

41 citing papers in PubMed, 69 citations in OpenAlex.

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  16. Structural Mechanism of Ionic Conductivity of the TRPV1 Channel.Doklady. Biochemistry and biophysics · 2023
    Article
  17. Molecular dynamics study of ClCellular and molecular life sciences : CMLS · 2023
    Article
  18. Review
  19. When is a hydrophobic gate not a hydrophobic gate?The Journal of general physiology · 2022
    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

5 authors at 1 institution in 1 country.

Shanlin RaoDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom.
Gianni KlesseDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom.
Phillip J StansfeldDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom.ORCID 0000-0001-8800-7669
Stephen J TuckerClarendon Laboratory, Department of Physics, University of Oxford, Oxford OX1 3PU, United Kingdom.ORCID 0000-0001-8996-2000
Mark S P SansomDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom; mark.sansom@bioch.ox.ac.uk.ORCID 0000-0001-6360-7959
University of Oxford · GB

Funding

Biotechnology and Biological Sciences Research CouncilWellcome Trust
6 · The paper itself

Abstract

Ion channel proteins control ionic flux across biological membranes through conformational changes in their transmembrane pores. An exponentially increasing number of channel structures captured in different conformational states are now being determined; however, these newly resolved structures are commonly classified as either open or closed based solely on the physical dimensions of their pore, and it is now known that more accurate annotation of their conductive state requires additional assessment of the effect of pore hydrophobicity. A narrow hydrophobic gate region may disfavor liquid-phase water, leading to local dewetting, which will form an energetic barrier to water and ion permeation without steric occlusion of the pore. Here we quantify the combined influence of radius and hydrophobicity on pore dewetting by applying molecular dynamics simulations and machine learning to nearly 200 ion channel structures. This allows us to propose a simple simulation-free heuristic model that rapidly and accurately predicts the presence of hydrophobic gates. This not only enables the functional annotation of new channel structures as soon as they are determined, but also may facilitate the design of novel nanopores controlled by hydrophobic gates.

Indexed as

Protein ConformationCell MembraneHydrophobic and Hydrophilic InteractionsIon Channel GatingIon ChannelsMachine LearningMolecular Dynamics SimulationNanoporesProteomeWaterIon ChannelsProteomeWaterhydrophobic gatingion channel annotationmachine learningmolecular dynamicswater

Identifiers

PMID31235590
PMCPMC6628796
OpenAlexW2953796490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.