Evidence map›Paper›PMID 41366810›Full record

ArticleJournal of cheminformatics2025

Uncovering molecular determinants of potency and binding affinity in hit compounds targeting FGF14/Nav1.6 complex.

Hamid Teimouri, Zahra Haghighijoo, Timothy J Baumgartner, Aditya K Singh, Paul A Wadsworth, Cun Zhang, Haiying Chen, Jia Zhou, Fernanda Laezza

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cheminformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Hamid TeimouriDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA. hateimou@utmb.edu.
Zahra HaghighijooDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Timothy J BaumgartnerDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Aditya K SinghDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Paul A WadsworthDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Cun ZhangDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Haiying ChenDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Jia ZhouDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Fernanda LaezzaDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA. felaezza@utmb.edu.

Funding

Probing brain circuit and behavior with protein:protein interaction modulatorsR01MH132226 · NIMH · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Fernanda Laezza, Jia Zhou · 2023 to 2026
$3.2M
Discovery of Chemical Probes for Psychiatric Disorders and AddictionR01MH111107 · NIMH · UNIVERSITY OF TEXAS MED BR GALVESTON · PI LAEZZA, FERNANDA, ZHOU, JIA · 2016 to 2018
$1.6M
NIH HHS R01 MH111107NIH HHS R01MH132226NIMH NIH HHS R01 MH111107NIMH NIH HHS R01 MH132226
6 · The paper itself

Abstract

Identifying molecular mechanisms that regulate neuronal excitability is essential for developing targeted therapies for neuropsychiatric disorders. The protein-protein interaction (PPI) between fibroblast growth factor 14 (FGF14) and the voltage-gated Na

Indexed as

Cosine similarityFGF14Hit compoundsLead optimizationMolecular descriptorsMordredNav1.6

Identifiers

PMID41366810
PMCPMC12690839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.