Evidence map›Paper›PMID 40726111›Full record

ArticleBioinformatics (Oxford, England)2025

LegionProfiler: a computational tool for the identification of virulence factors and classification of Legionella pneumophila serogroup 1 isolates.

Oluwafemi A Sarumi, Wilhelm Bertrams, Oliver Schwengers, Jan-Paul Herrmann, Torsten Hain, Laurine Kieper, Markus Petzold, Alexander Goesmann, Bernd T Schmeck, Dominik Heider

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Oluwafemi A SarumiInstitute of Medical Informatics, University of Münster, Albert-Schweitzer-Campus, Münster 48149, Germany.
Wilhelm BertramsInstitute for Lung Research, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps-Universität Marburg, Marburg 35043, Germany.
Oliver SchwengersBioinformatics and Systems Biology, Justus Liebig University Giessen, Giessen 35392, Germany.
Jan-Paul HerrmannInstitute of Medical Microbiology, Justus Liebig University Giessen, Giessen 35392, Germany.
Torsten HainInstitute of Medical Microbiology, Justus Liebig University Giessen, Giessen 35392, Germany.
Laurine KieperInstitute for Medical Microbiology and Virology, Medical Faculty, and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden 01307, Germany.
Markus PetzoldInstitute for Medical Microbiology and Virology, Medical Faculty, and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden 01307, Germany.
Alexander GoesmannBioinformatics and Systems Biology, Justus Liebig University Giessen, Giessen 35392, Germany.
Bernd T SchmeckInstitute for Lung Research, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps-Universität Marburg, Marburg 35043, Germany.
Dominik HeiderInstitute of Medical Informatics, University of Münster, Albert-Schweitzer-Campus, Münster 48149, Germany.ORCID 0000-0002-3108-8311

Funding

German Federal Ministry of Education and Research 031L0288A
6 · The paper itself

Abstract

summaryLegionella pneumophila has significantly contributed to multiple cases of pneumonia with a high rate of mortality globally. Its ability to exploit host mechanisms through several expressed virulence factors poses challenges for diagnosis, treatment, and outbreak control. To address this, we developed LegionProfiler, a computational tool that swiftly identifies virulence factor protein domains within genome assemblies of Legionella pneumophila serogroup 1 isolates and classifies them into high- or low-virulence groups. LegionProfiler automates the probing of genome assemblies for virulence-associated protein domains and determines the isolate's potential to cause severe pneumonia infection. The LegionProfiler workflow is made available through a user-friendly interface to enhance technical control of infectious sources and adds important insights to the general epidemiology of clinical isolates. It could also support the development of targeted therapeutic strategies that will improve patient treatment. AVAILABILITY AND IMPLEMENTATION: LegionProfiler is freely accessible as a web service at https://legionprofiler.uni-muenster.de, and can also be run locally in a Docker container. The source code can be found at https://imigitlab.uni-muenster.de/heiderlab/legionprofiler or at Zenodo (DOI: 10.5281/zenodo.15592325).

Indexed as

Computational BiologyLegionella pneumophilaSoftwareVirulence FactorsBacterial ProteinsGenome, BacterialHumansLegionnaires' DiseaseSerogroupBacterial ProteinsVirulence Factors

Identifiers

PMID40726111
PMCPMC12304514

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.