Literature DB >> 23197255

A method for computing association rate constants of atomistically represented proteins under macromolecular crowding.

Sanbo Qin1, Lu Cai, Huan-Xiang Zhou.   

Abstract

In cellular environments, two protein molecules on their way to form a specific complex encounter many bystander macromolecules. The latter molecules, or crowders, affect both the energetics of the interaction between the test molecules and the dynamics of their relative motion. In earlier work (Zhou and Szabo 1991 J. Chem. Phys. 95 5948-52), it has been shown that, in modeling the association kinetics of the test molecules, the presence of crowders can be accounted for by their energetic and dynamic effects. The recent development of the transient-complex theory for protein association in dilute solutions makes it possible to easily incorporate the energetic and dynamic effects of crowders. The transient complex refers to a late on-pathway intermediate, in which the two protein molecules have near-native relative separation and orientation, but have yet to form the many short-range specific interactions of the native complex. The transient-complex theory predicts the association rate constant as k(a) = k(a0)exp(-ΔG*(el)/k(B)T), where k(a0) is the 'basal' rate constant for reaching the transient complex by unbiased diffusion, and the Boltzmann factors captures the influence of long-range electrostatic interactions between the protein molecules. Crowders slow down the diffusion, therefore reducing the basal rate constant (to k(ac0)), and induce an effective interaction energy ΔG(c). We show that the latter interaction energy for atomistic proteins in the presence of spherical crowders is 'long'-ranged, allowing the association rate constant under crowding to be computed as k(ac) = k(ac0)exp[-(ΔG*(el) + ΔG*(c))/k(B)T]. Applications demonstrate that this computational method allows for realistic modeling of protein association kinetics under crowding.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23197255      PMCID: PMC3521150          DOI: 10.1088/1478-3975/9/6/066008

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  40 in total

1.  Electrostatics of nanosystems: application to microtubules and the ribosome.

Authors:  N A Baker; D Sept; S Joseph; M J Holst; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

2.  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

3.  Diffusion-limited reactions in crowded environments.

Authors:  N Dorsaz; C De Michele; F Piazza; P De Los Rios; G Foffi
Journal:  Phys Rev Lett       Date:  2010-09-13       Impact factor: 9.161

4.  Microscopic diffusion and hydrodynamic interactions of hemoglobin in red blood cells.

Authors:  Wolfgang Doster; Stéphane Longeville
Journal:  Biophys J       Date:  2007-05-18       Impact factor: 4.033

5.  Effect of macromolecular crowding on reaction rates: a computational and theoretical study.

Authors:  Jun Soo Kim; Arun Yethiraj
Journal:  Biophys J       Date:  2009-02-18       Impact factor: 4.033

6.  Effect of macromolecular crowding on protein binding stability: modest stabilization and significant biological consequences.

Authors:  Jyotica Batra; Ke Xu; Sanbo Qin; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2009-08-05       Impact factor: 4.033

7.  Influence of macromolecular crowding on protein-protein association rates--a Brownian dynamics study.

Authors:  Grzegorz Wieczorek; Piotr Zielenkiewicz
Journal:  Biophys J       Date:  2008-08-29       Impact factor: 4.033

8.  Rapid, electrostatically assisted association of proteins.

Authors:  G Schreiber; A R Fersht
Journal:  Nat Struct Biol       Date:  1996-05

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

Review 10.  Fundamental aspects of protein-protein association kinetics.

Authors:  G Schreiber; G Haran; H-X Zhou
Journal:  Chem Rev       Date:  2009-03-11       Impact factor: 60.622

View more
  15 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

2.  Looking for a promoter in 3D.

Authors:  Vladimir Svetlov; Evgeny Nudler
Journal:  Nat Struct Mol Biol       Date:  2013-02       Impact factor: 15.369

3.  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

4.  Theory of Crowding Effects on Bimolecular Reaction Rates.

Authors:  Alexander M Berezhkovskii; Attila Szabo
Journal:  J Phys Chem B       Date:  2016-05-02       Impact factor: 2.991

Review 5.  Electrostatic Interactions in Protein Structure, Folding, Binding, and Condensation.

Authors:  Huan-Xiang Zhou; Xiaodong Pang
Journal:  Chem Rev       Date:  2018-01-10       Impact factor: 60.622

Review 6.  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

7.  Effects of Macromolecular Crowding on the Conformational Ensembles of Disordered Proteins.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  J Phys Chem Lett       Date:  2013-10-17       Impact factor: 6.475

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

Authors:  Huan-Xiang Zhou; Sanbo Qin
Journal:  Biophys Rev       Date:  2013-06-01

9.  Folding free energy surfaces of three small proteins under crowding: validation of the postprocessing method by direct simulation.

Authors:  Sanbo Qin; Jeetain Mittal; Huan-Xiang Zhou
Journal:  Phys Biol       Date:  2013-08-02       Impact factor: 2.583

Review 10.  Challenges in structural approaches to cell modeling.

Authors:  Wonpil Im; Jie Liang; Arthur Olson; Huan-Xiang Zhou; Sandor Vajda; Ilya A Vakser
Journal:  J Mol Biol       Date:  2016-05-30       Impact factor: 5.469

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.