Evidence map›Paper›PMID 41595492›Full record

ArticleGenes2026

In Silico Functional and Structural Analysis of

Karla Mayela Bravo-Villagra, Eric Jonathan Maciel-Cruz, Rosa Michel Martínez-Contreras, Itzae Adonai Gutiérrez-Hurtado, Alexis Missael Vizcaíno-Quirarte, José Francisco Muñoz-Valle, Andres López-Quintero

Abstract read
In one paragraph

Article in Genes, 2026. 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

7 authors.

Karla Mayela Bravo-VillagraCentro Universitario de Ciencias de la Salud, Instituto de Nutrigenética y Nutrigenómica Traslacional, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.
Eric Jonathan Maciel-CruzCentro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social, Guadalajara 44340, Jalisco, Mexico.
Rosa Michel Martínez-ContrerasPrograma de Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.
Itzae Adonai Gutiérrez-HurtadoPrograma de Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.ORCID 0000-0001-6174-0609
Alexis Missael Vizcaíno-QuirarteCentro Universitario de Ciencias de la Salud, Instituto de Investigación en Ciencias Biomédicas, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.ORCID 0009-0005-2443-0210
José Francisco Muñoz-ValleCentro Universitario de Ciencias de la Salud, Instituto de Investigación en Ciencias Biomédicas, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.ORCID 0000-0002-2272-9260
Andres López-QuinteroCentro Universitario de Ciencias de la Salud, Instituto de Nutrigenética y Nutrigenómica Traslacional, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.ORCID 0000-0002-5151-041X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe

objectivesThe objective of this study is to analyze variants of uncertain significance (VUSs) in

methodsA total of 48,295 variants of the

resultsEighty missense VUSs were identified; of these, 13 were prioritized based on concordant signals across multiple computational predictors. These variants showed significant alterations in the physicochemical properties of the protein, including changes in hydrophobicity and disruption of hydrogen bonding. Notably, the rs140675301 (Glu128Val) variant lies within a conserved loop, and in silico analyses suggest that this mutation may alter kinase specificity regarding the phosphorylation of serine 130.

conclusionsThe integrative use of the bioinformatic tools employed represents a valuable preliminary step prior to undertaking more complex and resource-intensive functional studies. This complementary strategy strengthens the interpretative framework for VUS, guiding subsequent experimental validation and supporting a structured assessment of variant relevance, particularly in the context of immune-related genes such as

Indexed as

STAT4 Transcription FactorComputational BiologyComputer SimulationHumansMutation, MissenseSTAT4 protein, humanSTAT4 Transcription Factorbioinformatics toolsin silico analysispathogenicity predictionSTAT4 genevariants of uncertain significance (VUS)

Identifiers

PMID41595492
PMCPMC12841567

What OpenQuestion holds

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LicenceCC BY
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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.