Scheithauer, Lina ; Karagöz, Mustafa Safa ; Mayer, Benjamin E. ; Steinert, Michael (2023)
Protein sociology of ProA, Mip and other secreted virulence factors at the Legionella pneumophila surface.
In: Frontiers in Cellular and Infection Microbiology, 2023, 13
doi: 10.26083/tuprints-00023383
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Protein sociology of ProA, Mip and other secreted virulence factors at the Legionella pneumophila surface |
Language: | English |
Date: | 11 April 2023 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2023 |
Publisher: | Frontiers Media S.A. |
Journal or Publication Title: | Frontiers in Cellular and Infection Microbiology |
Volume of the journal: | 13 |
Collation: | 21 Seiten |
DOI: | 10.26083/tuprints-00023383 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | The pathogenicity of L. pneumophila, the causative agent of Legionnaires’ disease, depends on an arsenal of interacting proteins. Here we describe how surface-associated and secreted virulence factors of this pathogen interact with each other or target extra- and intracellular host proteins resulting in host cell manipulation and tissue colonization. Since progress of computational methods like AlphaFold, molecular dynamics simulation, and docking allows to predict, analyze and evaluate experimental proteomic and interactomic data, we describe how the combination of these approaches generated new insights into the multifaceted “protein sociology” of the zinc metalloprotease ProA and the peptidyl-prolyl cis/trans isomerase Mip (macrophage infectivity potentiator). Both virulence factors of L. pneumophila interact with numerous proteins including bacterial flagellin (FlaA) and host collagen, and play important roles in virulence regulation, host tissue degradation and immune evasion. The recent progress in protein-ligand analyses of virulence factors suggests that machine learning will also have a beneficial impact in early stages of drug discovery. |
Uncontrolled Keywords: | Legionella pneumophila, surface-associated proteins, secreted effectors, zinc metalloprotease ProA, macrophage infectivity potentiator, interactomics, computational biology |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-233837 |
Classification DDC: | 500 Science and mathematics > 570 Life sciences, biology |
Divisions: | 10 Department of Biology > Computational Biology and Simulation |
Date Deposited: | 11 Apr 2023 11:55 |
Last Modified: | 14 Nov 2023 19:05 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23383 |
PPN: | 509033512 |
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