Gamma-Hemolysin Components: Computational Strategies for LukF-Hlg2 Dimer Reconstruction on a Model Membrane

The gamma-hemolysin protein is one of the most common pore-forming toxins expressed by the pathogenic bacterium <i>Staphylococcus aureus</i>. The toxin is used by the pathogen to escape the immune system of the host organism, by assembling into octameric transmembrane pores on the surfac...

Full description

Bibliographic Details
Main Authors: Costanza Paternoster, Thomas Tarenzi, Raffaello Potestio, Gianluca Lattanzi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/8/7113
_version_ 1797605190029803520
author Costanza Paternoster
Thomas Tarenzi
Raffaello Potestio
Gianluca Lattanzi
author_facet Costanza Paternoster
Thomas Tarenzi
Raffaello Potestio
Gianluca Lattanzi
author_sort Costanza Paternoster
collection DOAJ
description The gamma-hemolysin protein is one of the most common pore-forming toxins expressed by the pathogenic bacterium <i>Staphylococcus aureus</i>. The toxin is used by the pathogen to escape the immune system of the host organism, by assembling into octameric transmembrane pores on the surface of the target immune cell and leading to its death by leakage or apoptosis. Despite the high potential risks associated with <i>Staphylococcus aureus</i> infections and the urgent need for new treatments, several aspects of the pore-formation process from gamma-hemolysin are still unclear. These include the identification of the interactions between the individual monomers that lead to the formation of a dimer on the cell membrane, which represents the unit for further oligomerization. Here, we employed a combination of all-atom explicit solvent molecular dynamics simulations and protein–protein docking to determine the stabilizing contacts that guide the formation of a functional dimer. The simulations and the molecular modeling reveal the importance of the flexibility of specific protein domains, in particular the N-terminus, to drive the formation of the correct dimerization interface through functional contacts between the monomers. The results obtained are compared with the experimental data available in the literature.
first_indexed 2024-03-11T04:57:36Z
format Article
id doaj.art-ea570316d2f447ca88fb1541dc320761
institution Directory Open Access Journal
issn 1661-6596
1422-0067
language English
last_indexed 2024-03-11T04:57:36Z
publishDate 2023-04-01
publisher MDPI AG
record_format Article
series International Journal of Molecular Sciences
spelling doaj.art-ea570316d2f447ca88fb1541dc3207612023-11-17T19:35:25ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-04-01248711310.3390/ijms24087113Gamma-Hemolysin Components: Computational Strategies for LukF-Hlg2 Dimer Reconstruction on a Model MembraneCostanza Paternoster0Thomas Tarenzi1Raffaello Potestio2Gianluca Lattanzi3Department of Physics, University of Trento, Via Sommarive 14, I-38123 Trento, ItalyDepartment of Physics, University of Trento, Via Sommarive 14, I-38123 Trento, ItalyDepartment of Physics, University of Trento, Via Sommarive 14, I-38123 Trento, ItalyDepartment of Physics, University of Trento, Via Sommarive 14, I-38123 Trento, ItalyThe gamma-hemolysin protein is one of the most common pore-forming toxins expressed by the pathogenic bacterium <i>Staphylococcus aureus</i>. The toxin is used by the pathogen to escape the immune system of the host organism, by assembling into octameric transmembrane pores on the surface of the target immune cell and leading to its death by leakage or apoptosis. Despite the high potential risks associated with <i>Staphylococcus aureus</i> infections and the urgent need for new treatments, several aspects of the pore-formation process from gamma-hemolysin are still unclear. These include the identification of the interactions between the individual monomers that lead to the formation of a dimer on the cell membrane, which represents the unit for further oligomerization. Here, we employed a combination of all-atom explicit solvent molecular dynamics simulations and protein–protein docking to determine the stabilizing contacts that guide the formation of a functional dimer. The simulations and the molecular modeling reveal the importance of the flexibility of specific protein domains, in particular the N-terminus, to drive the formation of the correct dimerization interface through functional contacts between the monomers. The results obtained are compared with the experimental data available in the literature.https://www.mdpi.com/1422-0067/24/8/7113gamma-hemolysinpore-forming toxinsmembrane proteinsmolecular dynamics
spellingShingle Costanza Paternoster
Thomas Tarenzi
Raffaello Potestio
Gianluca Lattanzi
Gamma-Hemolysin Components: Computational Strategies for LukF-Hlg2 Dimer Reconstruction on a Model Membrane
International Journal of Molecular Sciences
gamma-hemolysin
pore-forming toxins
membrane proteins
molecular dynamics
title Gamma-Hemolysin Components: Computational Strategies for LukF-Hlg2 Dimer Reconstruction on a Model Membrane
title_full Gamma-Hemolysin Components: Computational Strategies for LukF-Hlg2 Dimer Reconstruction on a Model Membrane
title_fullStr Gamma-Hemolysin Components: Computational Strategies for LukF-Hlg2 Dimer Reconstruction on a Model Membrane
title_full_unstemmed Gamma-Hemolysin Components: Computational Strategies for LukF-Hlg2 Dimer Reconstruction on a Model Membrane
title_short Gamma-Hemolysin Components: Computational Strategies for LukF-Hlg2 Dimer Reconstruction on a Model Membrane
title_sort gamma hemolysin components computational strategies for lukf hlg2 dimer reconstruction on a model membrane
topic gamma-hemolysin
pore-forming toxins
membrane proteins
molecular dynamics
url https://www.mdpi.com/1422-0067/24/8/7113
work_keys_str_mv AT costanzapaternoster gammahemolysincomponentscomputationalstrategiesforlukfhlg2dimerreconstructiononamodelmembrane
AT thomastarenzi gammahemolysincomponentscomputationalstrategiesforlukfhlg2dimerreconstructiononamodelmembrane
AT raffaellopotestio gammahemolysincomponentscomputationalstrategiesforlukfhlg2dimerreconstructiononamodelmembrane
AT gianlucalattanzi gammahemolysincomponentscomputationalstrategiesforlukfhlg2dimerreconstructiononamodelmembrane