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 paragraphArticle 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Gagan SharmaAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
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.
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 itselfAbstract
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
Textmetadata
LicenceCC BY-NC
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