Evidence map›Paper›PMID 40156461›Full record

ArticleFEBS letters2025

Refining the Na

Gagan Sharma, Jennifer R Deuis, Xinying Jia, Theo Crawford, Sassan Rahnama, Eivind A B Undheim, Irina Vetter, Yanni K-Y Chin, Mehdi Mobli

Abstract read
In one paragraph

Article in FEBS letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gagan SharmaAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Jennifer R DeuisInstitute for Molecular Bioscience, The University of Queensland, St Lucia, Australia.ORCID https://orcid.org/0000-0002-5107-8938
Xinying JiaAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Theo CrawfordAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Sassan RahnamaAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Eivind A B UndheimAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Irina VetterInstitute for Molecular Bioscience, The University of Queensland, St Lucia, Australia.
Yanni K-Y ChinAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
Mehdi MobliAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.ORCID https://orcid.org/0000-0003-2420-4262

Funding

Australian Research Council DE160101142Australian Research Council FTl10100925European Research Council 101039862National Health and Medical Research Council 2017086National Health and Medical Research Council APP1034958National Health and Medical Research Council APP1080405National Health and Medical Research Council APP1102267University of Queensland
6 · The paper itself

Abstract

Ion channels are among the main targets of venom peptides. Extensive functional screening has identified a number of these peptides as modulators of the voltage-gated sodium channel subtype Na

Indexed as

NAV1.7 Voltage-Gated Sodium ChannelPeptidesScorpion VenomsVoltage-Gated Sodium Channel BlockersAmino Acid SequenceAnimalsComputational BiologyComputer SimulationHumansPharmacophoreProtein EngineeringStructure-Activity RelationshipNAV1.7 Voltage-Gated Sodium ChannelPeptidesSCN9A protein, humanScorpion VenomsVoltage-Gated Sodium Channel BlockersNaV1.7painpeptide structurevenom peptidesvoltage‐gated sodium channels

Identifiers

PMID40156461
PMCPMC12183627

What OpenQuestion holds

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LicenceCC BY-NC
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.