Sarumi Oluwafemi A, Bertrams Wilhelm, Schwengers Oliver, Herrmann Jan-Paul, Hain Torsten, Kieper Laurine, Petzold Markus, Goesmann Alexander, Schmeck Bernd T, Heider Dominik
Institute of Medical Informatics, University of Münster, Albert-Schweitzer-Campus, Münster 48149, Germany.
Institute for Lung Research, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps-Universität Marburg, Marburg 35043, Germany.
Bioinformatics. 2025 Jul 1;41(7). doi: 10.1093/bioinformatics/btaf398.
Legionella 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.
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).
嗜肺军团菌在全球范围内导致了多起死亡率较高的肺炎病例。它通过多种表达的毒力因子利用宿主机制的能力给诊断、治疗和疫情控制带来了挑战。为解决这一问题,我们开发了LegionProfiler,这是一种计算工具,可快速识别嗜肺军团菌血清型1分离株基因组组装中的毒力因子蛋白结构域,并将它们分为高毒力或低毒力组。LegionProfiler自动探测基因组组装中的毒力相关蛋白结构域,并确定分离株引起严重肺炎感染的可能性。LegionProfiler工作流程通过用户友好的界面提供,以加强对传染源的技术控制,并为临床分离株的一般流行病学提供重要见解。它还可以支持制定有针对性的治疗策略,从而改善患者的治疗效果。
LegionProfiler可作为网络服务在https://legionprofiler.uni-muenster.de免费访问,也可以在Docker容器中本地运行。源代码可在https://imigitlab.uni-muenster.de/heiderlab/legionprofiler或Zenodo(DOI:10.5281/zenodo.15592325)上找到。