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Published on: August 22, 2016
Crowding effects on protein association: effect of interactions between crowding agents
1Department of Chemistry and Theoretical Chemistry Institute, University of Wisconsin, Madison, Wisconsin 53706, USA.
Cellular crowding agents significantly impact protein association thermodynamics. Computer simulations show that simple hard sphere models often suffice, even with complex crowding agent interactions, simplifying theoretical studies.
Area of Science:
- Biophysics
- Computational Biology
- Chemical Physics
Background:
- The cellular cytoplasm is a crowded environment influencing biomolecular reactions.
- Theoretical models often use hard sphere crowding agents to study excluded volume effects.
- The impact of crowding agent interactions on protein association thermodynamics is less understood.
Purpose of the Study:
- To investigate the influence of crowding agent interactions on protein association thermodynamics.
- To compare the effects of hard sphere, interacting, and chain-like crowding agents.
- To determine the validity of the hard sphere model in complex cellular environments.
Main Methods:
- Computer simulations were employed to model protein association.
- Three types of crowding agents were simulated: hard spheres, spheres with interactions, and hard sphere chains.
- Protein association reactants and products were modeled as hard spheres.
Main Results:
- The excess free energy difference (nonideality factor) was largely insensitive to crowding agent interactions.
- This insensitivity was observed across different crowding agent types and was attributed to a cancellation of effects.
- Crowding effects were found to be sensitive to the shape of the protein association product.
Conclusions:
- The hard sphere model for crowding agents possesses a broad regime of validity for studying protein association thermodynamics.
- Simple hard sphere models are likely sufficient for qualitative understanding when non-excluded volume interactions are minor.
- This simplifies the theoretical approach to understanding crowding effects in cellular systems.
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