Evidence map›Paper›PMID 26989748›Full record

ArticleReports of biochemistry & molecular biology2015

In silico analysis and molecular modeling of RNA polymerase, sigma S (RpoS) protein in Pseudomonas aeruginosa PAO1.

Mansour Sedighi, Mohsen Moghoofei, Ebrahim Kouhsari, Abazar Pournajaf, Behzad Emadi, Masoud Tohidfar, Mehrdad Gholami

Open access · greenAbstract read
In one paragraph

Article in Reports of biochemistry & molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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 1 country.

Mansour SedighiDepartment of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mohsen MoghoofeiDepartment of Virology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Ebrahim KouhsariDepartment of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Abazar PournajafDepartment of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Behzad EmadiDepartment of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Masoud TohidfarAgricultural Biotechnology Research Institute of Iran, Tehran, Iran.
Mehrdad GholamiDepartment of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IRAgricultural Biotechnology Research Institute of Iran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSigma factors are proteins that regulate transcription in bacteria. Sigma factors can be activated in response to different environmental conditions. The rpoS (RNA polymerase, sigma S) gene encodes sigma-38 (σ38, or RpoS), a 37.8 kDa protein in Pseudomonas aeruginosa (P. aeruginosa) strains. RpoS is a central regulator of the general stress response and operates in both retroactive and proactive manners; not only does it allow the cell to survive environmental challenges; it also prepares the cell for subsequent stresses (cross-protection).

methodsThe significance of RpoS for stress resistance and protein expression in stationary-phase P. aeruginosa cells was assessed. The goal of the current study was to characterize RpoS of P. aeruginosa PAO1 using bioinformatics tools.

resultsThe results showed that RpoS is an unstable protein that belongs to the sigma-70 factor family. Secondary structure analysis predicted that random coil is the predominant structure followed by extended alpha helix. The three-dimensional (3D) structure was modeled using SWISS-MODEL Workspace.

conclusionDetermination of sequence, function, structure, and predicted epitopes of RpoS is important for modeling of inhibitors that will help in the design of new drugs to combat multi-drug-resistant (MDR) strains. Such information may aid in the development of new diagnostic tools, drugs, and vaccines for treatment in endemic regions.

Indexed as

BioinformaticsIn silicoPseudomonas aeruginosaRpoSTherapy

Identifiers

PMID26989748
PMCPMC4757095
OpenAlexW2281695376

What OpenQuestion holds

Textmetadata
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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.