Literature DB >> 23710260

Simulation and Modeling of Crowding Effects on the Thermodynamic and Kinetic Properties of Proteins with Atomic Details.

Huan-Xiang Zhou1, Sanbo Qin.   

Abstract

Recent experimental studies of protein folding and binding under crowded solutions suggest that crowding agents exert subtle influences on the thermodynamic and kinetic properties of the proteins. While some of the crowding effects can be understood qualitatively from simple models of the proteins, quantitative rationalization of these effects requires an atomistic representation of the protein molecules in modeling their interactions with crowders. A computational approach, known as postprocessing, has opened the door for atomistic modeling of crowding effects. This review summarizes the applications of the postprocessing approach for studying crowding effects on the thermodynamics and kinetics of protein folding, conformational transition, and binding. The integration of atomistic modeling with experiments in crowded solutions promises new insight into biochemical processes in cellular environments.

Entities:  

Keywords:  macromolecular crowding; modeling; postprocessing; protein binding; protein folding; simulation

Year:  2013        PMID: 23710260      PMCID: PMC3659821          DOI: 10.1007/s12551-013-0101-7

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  53 in total

1.  Protein folding and binding in confined spaces and in crowded solutions.

Authors:  Huan-Xiang Zhou
Journal:  J Mol Recognit       Date:  2004 Sep-Oct       Impact factor: 2.137

2.  Dependence of protein folding stability and dynamics on the density and composition of macromolecular crowders.

Authors:  Jeetain Mittal; Robert B Best
Journal:  Biophys J       Date:  2010-01-20       Impact factor: 4.033

3.  Macromolecular crowding effects on protein-protein binding affinity and specificity.

Authors:  Young C Kim; Robert B Best; Jeetain Mittal
Journal:  J Chem Phys       Date:  2010-11-28       Impact factor: 3.488

4.  Models for excluded volume interaction between an unfolded protein and rigid macromolecular cosolutes: macromolecular crowding and protein stability revisited.

Authors:  Allen P Minton
Journal:  Biophys J       Date:  2004-12-13       Impact factor: 4.033

5.  Solute effects on spin labels at an aqueous-exposed site in the flap region of HIV-1 protease.

Authors:  Luis Galiano; Mandy E Blackburn; Angelo M Veloro; Marco Bonora; Gail E Fanucci
Journal:  J Phys Chem B       Date:  2009-02-12       Impact factor: 2.991

Review 6.  Molecular crowding: analysis of effects of high concentrations of inert cosolutes on biochemical equilibria and rates in terms of volume exclusion.

Authors:  A P Minton
Journal:  Methods Enzymol       Date:  1998       Impact factor: 1.600

7.  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

8.  Variable interactions between protein crowders and biomolecular solutes are important in understanding cellular crowding.

Authors:  Michael Feig; Yuji Sugita
Journal:  J Phys Chem B       Date:  2011-12-12       Impact factor: 2.991

9.  Separating the contribution of translational and rotational diffusion to protein association.

Authors:  Yosef Yehuda Kuttner; Noga Kozer; Eugenia Segal; Gideon Schreiber; Gilad Haran
Journal:  J Am Chem Soc       Date:  2005-11-02       Impact factor: 15.419

10.  15N NMR spin relaxation dispersion study of the molecular crowding effects on protein folding under native conditions.

Authors:  Xuanjun Ai; Zheng Zhou; Yawen Bai; Wing-Yiu Choy
Journal:  J Am Chem Soc       Date:  2006-03-29       Impact factor: 15.419

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  10 in total

Review 1.  Modeling protein association mechanisms and kinetics.

Authors:  Huan-Xiang Zhou; Paul A Bates
Journal:  Curr Opin Struct Biol       Date:  2013-07-12       Impact factor: 6.809

Review 2.  Protein folding, binding, and droplet formation in cell-like conditions.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  Curr Opin Struct Biol       Date:  2016-10-20       Impact factor: 6.809

3.  Preferential Regulation of Transient Protein-Protein Interaction by the Macromolecular Crowders.

Authors:  Zhou Gong; Ju Yang; Ling-Yun Qin; Chun Tang; Hanqiu Jiang; Yubin Ke; Xu Dong
Journal:  J Phys Chem B       Date:  2022-06-22       Impact factor: 3.466

Review 4.  Influence of crowded cellular environments on protein folding, binding, and oligomerization: biological consequences and potentials of atomistic modeling.

Authors:  Huan-Xiang Zhou
Journal:  FEBS Lett       Date:  2013-02-05       Impact factor: 4.124

Review 5.  Theoretical frameworks for multiscale modeling and simulation.

Authors:  Huan-Xiang Zhou
Journal:  Curr Opin Struct Biol       Date:  2014-02-01       Impact factor: 6.809

6.  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

Review 7.  The OPEP protein model: from single molecules, amyloid formation, crowding and hydrodynamics to DNA/RNA systems.

Authors:  Fabio Sterpone; Simone Melchionna; Pierre Tuffery; Samuela Pasquali; Normand Mousseau; Tristan Cragnolini; Yassmine Chebaro; Jean-Francois St-Pierre; Maria Kalimeri; Alessandro Barducci; Yoann Laurin; Alex Tek; Marc Baaden; Phuong Hoang Nguyen; Philippe Derreumaux
Journal:  Chem Soc Rev       Date:  2014-04-23       Impact factor: 54.564

8.  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

9.  Particle-Based Simulation Reveals Macromolecular Crowding Effects on the Michaelis-Menten Mechanism.

Authors:  Daniel R Weilandt; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2019-06-25       Impact factor: 4.033

10.  Molecular crowding inhibits U-insertion/deletion RNA editing in vitro: consequences for the in vivo reaction.

Authors:  Venkata Subbaraju Katari; Lea van Esdonk; H Ulrich Göringer
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

  10 in total

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