Evidence map›Paper›PMID 38152377›Full record

ArticleFrontiers in microbiology2023

Boolean model of the gene regulatory network of

Márcia da Silva Chagas, Marcelo Trindade Dos Santos, Marcio Argollo de Menezes, Fabricio Alves Barbosa da Silva

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Márcia da Silva ChagasScientific Computing Program (PROCC), FIOCRUZ, Rio de Janeiro, Brazil.
Marcelo Trindade Dos SantosNational Laboratory of Scientific Computing, Rio de Janeiro, Brazil.
Marcio Argollo de MenezesInstitute of Physics, Fluminense Federal University, Niterói, Brazil.
Fabricio Alves Barbosa da SilvaScientific Computing Program (PROCC), FIOCRUZ, Rio de Janeiro, Brazil.
Fundação Oswaldo Cruz · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: One way to analyze their dynamic cellular behavior is through computational modeling of the gene regulatory network, which represents interactions between regulatory genes and their targets. For this purpose, Boolean models are important predictive tools to analyze these interactions. They are one of the most commonly used methods for studying complex dynamic behavior in biological systems. Results and discussion: Therefore, this research consists of building a Boolean model of the gene regulatory network of

Indexed as

Boolean modelgene regulatory network (GRN)multidrug resistance (MDR)pseudomonas aeruginosasystem biology and systems modeling

Identifiers

PMID38152377
PMCPMC10752298
OpenAlexW4389199417

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.