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Ion accumulation in a protein nanocage: finding noisy temporal sequences using a genetic algorithm.

Craig C Jolley1, Trevor Douglas

  • 1Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, USA. jolleycraig@gmail.com

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Pathogenic bacteria use Dps protein nanocages to survive oxidative stress by sequestering iron. This study reveals how ions navigate these cages via electrostatic gradients and specific pores, offering insights into bacterial defense mechanisms.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Structural Biology

Background:

  • Pathogenic bacteria employ antioxidant systems to evade host immune responses, particularly reactive oxygen species.
  • The Dps protein functions as a protective nanocage, mitigating oxidative damage by sequestering intracellular iron (Fe2+).
  • Iron sequestration results in the formation of an iron oxyhydroxide nanoparticle within the Dps nanocage.

Purpose of the Study:

  • To investigate the mechanism of ion transport into the Dps protein nanocage.
  • To analyze ion-protein interactions and pathways using computational simulations.
  • To explore the role of electrostatic gradients in guiding ion movement.

Main Methods:

  • All-atom molecular dynamics simulations were employed to model cation movement into the Dps nanocage.
  • A novel genetic algorithm was utilized to analyze ion trajectories and temporal protein interactions.
  • Simulations focused on the Dps protein from Listeria monocytogenes.

Main Results:

  • Ions are observed to enter the Dps nanocage through specific pores located at the C(3) axes.
  • Negatively-charged residues on the exterior of the Dps cage create a defined entrance pathway for ions.
  • The study successfully mapped ion trajectories and identified key interaction points.

Conclusions:

  • The Dps protein nanocage facilitates ion entry through well-defined pores driven by electrostatic interactions.
  • The electrostatic gradient across the nanocage plays a crucial role in directing ion movement.
  • The developed trajectory analysis method has potential applications for studying electrostatically driven molecular transport in biomolecular systems.