Evidence map›Paper›PMID 33466511›Full record

ArticleMicroorganisms2021

Kinetic Modeling and Meta-Analysis of the

Jiri Vohradsky, Marek Schwarz, Olga Ramaniuk, Olatz Ruiz-Larrabeiti, Viola Vaňková Hausnerová, Hana Šanderová, Libor Krásný

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Quantitative Aspect ofBiology · 2024
    Article
  3. σCommunications biology · 2024
    Article
  4. The alternative sigma factor SigN ofJournal of bacteriology · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Quantitative Aspect ofBiology · 2022
    Article
  9. Special Issue "Microorganisms · 2021
    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

7 authors at 2 institutions in 2 countries.

Jiri VohradskyLaboratory of Bioinformatics, Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Prague, Czech Republic.
Marek SchwarzLaboratory of Bioinformatics, Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Prague, Czech Republic.
Olga RamaniukLaboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Prague, Czech Republic.ORCID 0000-0002-9420-1553
Olatz Ruiz-LarrabeitiLaboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Prague, Czech Republic.ORCID 0000-0002-7617-2285
Viola Vaňková HausnerováLaboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Prague, Czech Republic.
Hana ŠanderováLaboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Prague, Czech Republic.ORCID 0000-0002-5436-7583
Libor KrásnýLaboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, 14220 Prague, Czech Republic.ORCID 0000-0002-4120-4347
Czech Academy of Sciences · CZUniversity of the Basque Country · ES

Funding

Basque Government POS_2019_1_0033European Regional Development Fund CZ.02.1.01/0.0/0.0/16_013/0001777Grantová Agentura České Republiky 20-12109SMinisterstvo Školství, Mládeže a Tělovýchovy LM2018131
6 · The paper itself

Abstract

The exponential increase in the number of conducted studies combined with the development of sequencing methods have led to an enormous accumulation of partially processed experimental data in the past two decades. Here, we present an approach using literature-mined data complemented with gene expression kinetic modeling and promoter sequence analysis. This approach allowed us to identify the regulon of

Indexed as

Bacillus subtiliscomputational modelinggene regulatory networkspromoter sequence analysisSigB

Identifiers

PMID33466511
PMCPMC7824861
OpenAlexW3120249124

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.