Evidence map›Paper›PMID 40959251›Full record

ArticleACS medicinal chemistry letters2025

Characterization of Next-Generation Inhibitors for the Inward-Rectifier Potassium Channel K

Renn A Duncan, Daniel H Haymer, Roman M Lazarenko, Liangping Li, Yvette Blackwell, Emily L Days, Srinivasan Krishnan, Analisa Thompson Gray, Olivier Boutaud, Darren W Engers and 3 more

Abstract read
In one paragraph

Article in ACS medicinal chemistry 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

13 authors.

Renn A DuncanWarren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States.
Daniel H HaymerWarren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States.
Roman M LazarenkoDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States.
Liangping LiVVanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.
Yvette BlackwellDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States.
Emily L DaysVVanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.
Srinivasan KrishnanWarren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States.
Analisa Thompson GrayWarren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States.
Olivier BoutaudWarren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States.
Darren W EngersWarren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States.
Craig W LindsleyWarren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID https://orcid.org/0000-0003-0168-1445
Jerod S DentonDepartment of Pharmacology, Vanderbilt University, Nashville, Tennessee 37232, United States.
Aaron M BenderWarren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID https://orcid.org/0000-0003-0432-1648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ML133 is a selective inhibitor of the inward-rectifier potassium channel K

Indexed as

deuteriuminward-rectifier potassium channelmanual patch clamppharmacokineticsSARthallium flux

Identifiers

PMID40959251
PMCPMC12434521

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.