Evidence map›Paper›PMID 39039093›Full record

ArticleScientific reports2024

Structure based functional identification of an uncharacterized protein from Coxiella burnetii involved in adipogenesis.

Tajul Islam Mamun, Mohammed Bourhia, Taufiq Neoaj, Shopnil Akash, Md A K Azad, Md Sarowar Hossain, Md Masudur Rahman, Yousef A Bin Jardan, Samir Ibenmoussa, Baye Sitotaw

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Tajul Islam MamunDepartment of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.
Mohammed BourhiaLaboratory of Biotechnology and Natural Resources Valorization, Faculty of Sciences, Ibn Zohr University, 80060, Agadir, Morocco. m.bourhia@uiz.ac.ma.
Taufiq NeoajDepartment of Pharmacology and Toxicology, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.
Shopnil AkashDepartment of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Birulia, Ashulia, Dhaka, 1216, Bangladesh.
Md A K AzadDepartment of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Birulia, Ashulia, Dhaka, 1216, Bangladesh.
Md Sarowar HossainDepartment of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Birulia, Ashulia, Dhaka, 1216, Bangladesh.
Md Masudur RahmanDepartment of Pathology, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.
Yousef A Bin JardanDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 11451, Riyadh, Saudi Arabia.
Samir IbenmoussaLaboratory of Therapeutic and Organic Chemistry, Faculty of Pharmacy, University of Montpellier, 34000, Montpellier, France.
Baye SitotawDepartment of Biology, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia. scientificreasercher@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coxiella burnetii, the causative agent of Q fever, is an intracellular pathogen posing a significant global public health threat. There is a pressing need for dependable and effective treatments, alongside an urgency for further research into the molecular characterization of its genome. Within the genomic landscape of Coxiella burnetii, numerous hypothetical proteins remain unidentified, underscoring the necessity for in-depth study. In this study, we conducted comprehensive in silico analyses to identify and prioritize potential hypothetical protein of Coxiella burnetii, aiming to elucidate the structure and function of uncharacterized protein. Furthermore, we delved into the physicochemical properties, localization, and molecular dynamics and simulations, and assessed the primary, secondary, and tertiary structures employing a variety of bioinformatics tools. The in-silico analysis revealed that the uncharacterized protein contains a conserved Mth938-like domain, suggesting a role in preadipocyte differentiation and adipogenesis. Subcellular localization predictions indicated its presence in the cytoplasm, implicating a significant role in cellular processes. Virtual screening identified ligands with high binding affinities, suggesting the protein's potential as a drug target against Q fever. Molecular dynamics simulations confirmed the stability of these complexes, indicating their therapeutic relevance. The findings provide a structural and functional overview of an uncharacterized protein from C. burnetii, implicating it in adipogenesis. This study underscores the power of in-silico approaches in uncovering the biological roles of uncharacterized proteins and facilitating the discovery of new therapeutic strategies. The findings provide valuable preliminary data for further investigation into the protein's role in adipogenesis.

Indexed as

AdipogenesisBacterial ProteinsCoxiella burnetiiMolecular Dynamics SimulationHumansQ FeverBacterial ProteinsCoxiella burnetiiFunctional annotationIn silico approachMth938 domainUncharacterized protein

Identifiers

PMID39039093
PMCPMC11263603

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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.