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Improving 2D and 3D Skin In Vitro Models Using Macromolecular Crowding
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Crowding in Cellular Environments at an Atomistic Level from Computer Simulations.

Michael Feig1,2, Isseki Yu3,4, Po-Hung Wang3

  • 1Department of Biochemistry and Molecular Biology, Michigan State University , East Lansing, Michigan, United States.

The Journal of Physical Chemistry. B
|July 1, 2017
PubMed
Summary
This summary is machine-generated.

Cellular crowding significantly impacts biomolecular structure and dynamics. Computer simulations reveal how crowding can alter protein energy landscapes, potentially destabilizing native states and affecting molecular motion.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Structural Biology

Background:

  • The influence of crowded biological environments on biomolecular behavior is poorly understood.
  • Cellular interiors present complex conditions including macromolecular crowding and altered solvent properties.

Purpose of the Study:

  • To investigate the effects of crowding on the structure, dynamics, and function of peptides and proteins.
  • To provide insights into how cellular environments remodel biomolecular energy landscapes.

Main Methods:

  • Utilized computer simulations of atomistic models for concentrated peptide and protein systems.
  • Examined systems at varying levels of complexity to understand crowding effects.

Main Results:

  • Crowding, weak interactions, and altered solvent properties significantly remodel biomolecular energy landscapes.
  • Observed potential for native state destabilization in crowded environments.
  • Crowding affects both conformational dynamics and diffusional properties of macromolecules.

Conclusions:

  • Computer simulations offer valuable insights into the effects of biological crowding.
  • Crowding plays a crucial role in modulating biomolecular properties within cellular environments.
  • Findings align with and provide context for relevant experimental observations.