Evidence map›Paper›PMID 32053690›Full record

ArticlePloS one2020

Computational study of parameter sensitivity in DevR regulated gene expression.

Jagannath Das, Tarunendu Mapder, Sudip Chattopadhyay, Suman K Banik

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2020. 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
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. DosR's multifaceted role onFrontiers in cellular and infection microbiology · 2023
    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.

Jagannath DasDepartment of Chemistry, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India.
Tarunendu MapderDepartment of Chemistry, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India.
Sudip ChattopadhyayDepartment of Chemistry, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India.
Suman K BanikDepartment of Chemistry, Bose Institute, Kolkata, India.ORCID 0000-0001-9369-6198
Indian Institute of Engineering Science and Technology, Shibpur · INBose Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The DevRS two-component system plays a pivotal role in signal transmission and downstream gene regulation in Mycobacterium tuberculosis. Under the hypoxic condition, phosphorylated DevR interacts with multiple binding sites at the promoter region of the target genes. In the present work, we carried out a detailed computational analysis to figure out the sensitivity of the kinetic parameters. The set of kinetic parameters takes care of the interaction among phosphorylated DevR and the binding sites, transcription and translation processes. We employ the method of stochastic optimization to quantitate the relevant kinetic parameter set necessary for DevR regulated gene expression. Measures of different correlation coefficients provide the relative ordering of kinetic parameters involved in gene regulation. Results obtained from correlation coefficients are further corroborated by sensitivity amplification.

Indexed as

Bacterial ProteinsBinding SitesComputational BiologyDNA-Binding ProteinsGene Expression Regulation, BacterialKineticsMycobacterium tuberculosisPhosphorylationProtein KinasesProtein Processing, Post-TranslationalTranscription FactorsTranscription, GeneticBacterial ProteinsDNA-Binding ProteinsDosR protein, Mycobacterium tuberculosisProtein KinasesTranscription Factors

Identifiers

PMID32053690
PMCPMC7018068
OpenAlexW3006078507

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.