Literature DB >> 21166404

Crowding effects on protein association: effect of interactions between crowding agents.

Jun Soo Kim1, Arun Yethiraj.   

Abstract

The cell cytoplasm is a dense environment where the presence of inert cosolutes can significantly alter the rates of protein folding and protein association reactions. Most theoretical studies focus on hard sphere crowding agents and quantify the effect of excluded volume on reaction rates. In this work the effect of interactions between the crowding agents on the thermodynamics of protein association is studied using computer simulation. Three cases are considered, where the crowding agents are (i) hard spheres, (ii) hard spheres with additional attractive or repulsive interactions, and (iii) chains of hard spheres. Reactants and products of the protein association are modeled as hard spheres. Although crowding effects are sensitive to the shape of the reaction product, in most cases the excess free energy difference between the product and reactants (nonideality factor) is insensitive to the interactions between crowding agents, due to a cancellation of effects. The simulations therefore suggest that the hard sphere model of crowding agents has a surprisingly large regime of validity and should be sufficient for a qualitative understanding of the thermodynamics of crowding effects when the interactions of associating proteins with crowding agents other than excluded volume interactions are not significant.

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Year:  2010        PMID: 21166404     DOI: 10.1021/jp107123y

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  8 in total

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2.  Macromolecular crowding as a regulator of gene transcription.

Authors:  Hiroaki Matsuda; Gregory Garbès Putzel; Vadim Backman; Igal Szleifer
Journal:  Biophys J       Date:  2014-04-15       Impact factor: 4.033

3.  Thermodynamics of Macromolecular Association in Heterogeneous Crowding Environments: Theoretical and Simulation Studies with a Simplified Model.

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Journal:  J Phys Chem B       Date:  2016-11-15       Impact factor: 2.991

4.  Dynamic Crowding Regulates Transcription.

Authors:  Anne R Shim; Rikkert J Nap; Kai Huang; Luay M Almassalha; Hiroaki Matusda; Vadim Backman; Igal Szleifer
Journal:  Biophys J       Date:  2019-11-15       Impact factor: 4.033

Review 5.  Reaching new levels of realism in modeling biological macromolecules in cellular environments.

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Journal:  J Mol Graph Model       Date:  2013-08-28       Impact factor: 2.518

6.  Disordered chromatin packing regulates phenotypic plasticity.

Authors:  Ranya K A Virk; Wenli Wu; Luay M Almassalha; Greta M Bauer; Yue Li; David VanDerway; Jane Frederick; Di Zhang; Adam Eshein; Hemant K Roy; Igal Szleifer; Vadim Backman
Journal:  Sci Adv       Date:  2020-01-08       Impact factor: 14.136

7.  The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association.

Authors:  Jiachen Wei; Jure Dobnikar; Tine Curk; Fan Song
Journal:  PLoS One       Date:  2016-03-08       Impact factor: 3.240

Review 8.  Formation of protein complexes in crowded environments--from in vitro to in vivo.

Authors:  Yael Phillip; Gideon Schreiber
Journal:  FEBS Lett       Date:  2013-01-18       Impact factor: 4.124

  8 in total

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