Literature DB >> 27797534

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

Tadashi Ando1, Isseki Yu2, Michael Feig1,3, Yuji Sugita1,2,4.   

Abstract

The cytoplasm of a cell is crowded with many different kinds of macromolecules. The macromolecular crowding affects the thermodynamics and kinetics of biological reactions in a living cell, such as protein folding, association, and diffusion. Theoretical and simulation studies using simplified models focus on the essential features of the crowding effects and provide a basis for analyzing experimental data. In most of the previous studies on the crowding effects, a uniform crowder size is assumed, which is in contrast to the inhomogeneous size distribution of macromolecules in a living cell. Here, we evaluate the free energy changes upon macromolecular association in a cell-like inhomogeneous crowding system via a theory of hard-sphere fluids and free energy calculations using Brownian dynamics trajectories. The inhomogeneous crowding model based on 41 different types of macromolecules represented by spheres with different radii mimics the physiological concentrations of macromolecules in the cytoplasm of Mycoplasma genitalium. The free energy changes of macromolecular association evaluated by the theory and simulations were in good agreement with each other. The crowder size distribution affects both specific and nonspecific molecular associations, suggesting that not only the volume fraction but also the size distribution of macromolecules are important factors for evaluating in vivo crowding effects. This study relates in vitro experiments on macromolecular crowding to in vivo crowding effects by using the theory of hard-sphere fluids with crowder-size heterogeneity.

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Year:  2016        PMID: 27797534      PMCID: PMC8054318          DOI: 10.1021/acs.jpcb.6b06243

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


  44 in total

1.  Structures and correlation functions of multicomponent and polydisperse hard-sphere mixtures from a density functional theory.

Authors:  Yang-Xin Yu; Jianzhong Wu; Yu-Xuan Xin; Guang-Hua Gao
Journal:  J Chem Phys       Date:  2004-07-15       Impact factor: 3.488

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

Authors:  Jun Soo Kim; Arun Yethiraj
Journal:  J Phys Chem B       Date:  2010-12-17       Impact factor: 2.991

3.  Atomistic modeling of macromolecular crowding predicts modest increases in protein folding and binding stability.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2009-07-08       Impact factor: 4.033

4.  Prediction of diffusion coefficients of proteins.

Authors:  M T Tyn; T W Gusek
Journal:  Biotechnol Bioeng       Date:  1990-02-20       Impact factor: 4.530

5.  Protein folding stability and dynamics imaged in a living cell.

Authors:  Simon Ebbinghaus; Apratim Dhar; J Douglas McDonald; Martin Gruebele
Journal:  Nat Methods       Date:  2010-02-28       Impact factor: 28.547

Review 6.  Connecting the dots: the effects of macromolecular crowding on cell physiology.

Authors:  Márcio A Mourão; Joe B Hakim; Santiago Schnell
Journal:  Biophys J       Date:  2014-12-16       Impact factor: 4.033

7.  Analysis of the size dependence of macromolecular crowding shows that smaller is better.

Authors:  Kim A Sharp
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-15       Impact factor: 11.205

8.  Unexpected effects of macromolecular crowding on protein stability.

Authors:  Laura A Benton; Austin E Smith; Gregory B Young; Gary J Pielak
Journal:  Biochemistry       Date:  2012-11-27       Impact factor: 3.162

9.  An FFT-based method for modeling protein folding and binding under crowding: benchmarking on ellipsoidal and all-atom crowders.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  J Chem Theory Comput       Date:  2013-10-01       Impact factor: 6.006

10.  Further Development of the FFT-based Method for Atomistic Modeling of Protein Folding and Binding under Crowding: Optimization of Accuracy and Speed.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  J Chem Theory Comput       Date:  2014-05-06       Impact factor: 6.006

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  4 in total

1.  Spermidine strongly increases the fidelity of Escherichia coli CRISPR Cas1-Cas2 integrase.

Authors:  Pierre Plateau; Clara Moch; Sylvain Blanquet
Journal:  J Biol Chem       Date:  2019-06-06       Impact factor: 5.157

Review 2.  Molecular simulations of cellular processes.

Authors:  Fabio Trovato; Giordano Fumagalli
Journal:  Biophys Rev       Date:  2017-11-28

Review 3.  Computational approaches to macromolecular interactions in the cell.

Authors:  Ilya A Vakser; Eric J Deeds
Journal:  Curr Opin Struct Biol       Date:  2019-04-15       Impact factor: 6.809

4.  Crowding in Cellular Environments at an Atomistic Level from Computer Simulations.

Authors:  Michael Feig; Isseki Yu; Po-Hung Wang; Grzegorz Nawrocki; Yuji Sugita
Journal:  J Phys Chem B       Date:  2017-07-12       Impact factor: 2.991

  4 in total

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