Evidence map›Paper›PMID 35863001›Full record

ArticleMicrobiology spectrum2022

Proteome Exploration of

Md Tahsin Khan, Araf Mahmud, Mahmudul Hasan, Kazi Faizul Azim, Musammat Kulsuma Begum, Mohimenul Haque Rolin, Arzuba Akter, Shakhinur Islam Mondal

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Structural characterization of dUTPase from Legionella pneumophila.Acta crystallographica. Section F, Structural biology communications · 2025
    Article
  4. Article
  5. Review
  6. ExploringFrontiers in pharmacology · 2025
    Article
  7. Article
  8. Review
  9. Covalent Probes To CaptureJournal of the American Chemical Society · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. 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

8 authors at 2 institutions in 1 country.

Md Tahsin KhanDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technologygrid.412506.4, Sylhet, Bangladesh.
Araf MahmudDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technologygrid.412506.4, Sylhet, Bangladesh.
Mahmudul HasanDepartment of Pharmaceuticals and Industrial Biotechnology, Sylhet Agricultural Universitygrid.449569.3, Sylhet, Bangladesh.
Kazi Faizul AzimDepartment of Microbial Biotechnology, Sylhet Agricultural Universitygrid.449569.3, Sylhet, Bangladesh.
Musammat Kulsuma BegumDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technologygrid.412506.4, Sylhet, Bangladesh.
Mohimenul Haque RolinDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technologygrid.412506.4, Sylhet, Bangladesh.
Arzuba AkterDepartment of Biochemistry and Molecular Biology, Shahjalal University of Science and Technologygrid.412506.4, Sylhet, Bangladesh.
Shakhinur Islam MondalDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technologygrid.412506.4, Sylhet, Bangladesh.ORCID 0000-0002-8366-7745
Shahjalal University of Science and Technology · BDSylhet Agricultural University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Legionella pneumophila is the causative agent of a severe type of pneumonia (lung infection) called Legionnaires' disease. It is emerging as an antibiotic-resistant strain day by day. Hence, identifying novel drug targets and vaccine candidates is essential to fight against this pathogen. Here, attempts were taken through a subtractive genomics approach on the complete proteome of L. pneumophila to address the challenges of multidrug resistance. A total of 2,930 proteins from L. pneumophila proteome were investigated through diverse subtractive proteomics approaches, e.g., identification of human nonhomologous and pathogen-specific essential proteins, druggability and "anti-target" analysis, subcellular localization prediction, human microbiome nonhomology screening, and protein-protein interaction studies to find out effective drug and vaccine targets. Only three fulfilled these criteria and were proposed as novel drug targets against L. pneumophila. Furthermore, outer membrane protein TolB was identified as a potential vaccine target with a better antigenicity score. Antigenicity and transmembrane topology screening, allergenicity and toxicity assessment, population coverage analysis, and a molecular docking approach were adopted to generate the most potent epitopes. The final vaccine was constructed by the combination of highly immunogenic epitopes, along with suitable adjuvant and linkers. The designed vaccine construct showed higher binding interaction with different major histocompatibility complex (MHC) molecules and human immune TLR-2 receptors with minimum deformability at the molecular level. The present study aids the development of novel therapeutics and vaccine candidates for efficient treatment and prevention of L. pneumophila infections. However, further wet-lab-based phenotypic and genomic investigations and

Indexed as

Legionella pneumophilaLegionnaires' DiseaseProteomeAnti-Bacterial AgentsEpitopesGenomicsHumansMolecular Docking SimulationToll-Like Receptor 2VaccinologyAnti-Bacterial AgentsEpitopesProteomeToll-Like Receptor 2Legionella pneumophilaLegionnaires’ diseasemolecular dynamicsprotein-protein dockingreverse vaccinologysubtractive genomics

Identifiers

PMID35863001
PMCPMC9430848
OpenAlexW4285038197

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.