Evidence map›Paper›PMID 40879442›Full record

ArticleJournal of enzyme inhibition and medicinal chemistry2025

Discovery of a brain penetrant SGK1 inhibitor using a ligand- and structure-based virtual screening methodology.

Enrique Madruga, Cecilia Sanchez-Santos, Ignacio Valenzuela-Martínez, David Ramírez, Carmen Gil, Ana Martínez

Abstract read
In one paragraph

Article in Journal of enzyme inhibition and medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Drug-likeness prioritised selection identifies anti-Journal of enzyme inhibition and medicinal chemistry · 2026
    Article
  2. 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

6 authors.

Enrique MadrugaCentro de Investigaciones Biológicas "Margarita Salas", CSIC, Madrid, Spain.ORCID 0000-0002-7012-9737
Cecilia Sanchez-SantosCentro de Investigaciones Biológicas "Margarita Salas", CSIC, Madrid, Spain.ORCID 0009-0000-2411-7658
Ignacio Valenzuela-MartínezDepartamento de Farmacología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile.ORCID 0000-0001-8538-8320
David RamírezDepartamento de Farmacología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción, Chile.ORCID 0000-0003-0002-1189
Carmen GilCentro de Investigaciones Biológicas "Margarita Salas", CSIC, Madrid, Spain.ORCID 0000-0002-3882-6081
Ana MartínezCentro de Investigaciones Biológicas "Margarita Salas", CSIC, Madrid, Spain.ORCID 0000-0002-2707-8110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum and glucocorticoid-regulated kinase 1 (SGK1) is an underexplored kinase involved in several neurodegenerative diseases. Although SGK1 inhibitors are not available on the market, the absence of side effects in two SGK1 knockout mouse models supports the development of brain-penetrant SGK1 inhibitors to explore their therapeutic potential. Through a combined ligand- and target-based virtual screening using the ECBL, we identified a small heterocyclic molecule with SGK1 inhibitory activity (IC

Indexed as

BrainDrug DiscoveryImmediate-Early ProteinsNeuroprotective AgentsProtein Kinase InhibitorsProtein Serine-Threonine KinasesAnimalsDose-Response Relationship, DrugDrug Evaluation, PreclinicalHumansLigandsMiceMolecular Dynamics SimulationMolecular StructureSerum-Glucocorticoid Regulated KinasesStructure-Activity RelationshipImmediate-Early ProteinsLigandsNeuroprotective AgentsProtein Kinase InhibitorsProtein Serine-Threonine KinasesSerum-Glucocorticoid Regulated KinasesAlzheimer’s diseaseblood-brain barrierligand-based virtual screeningSGK1 inhibitorsstructure-based virtual screening

Identifiers

PMID40879442
PMCPMC12404094

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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.