Literature DB >> 22559201

Temperature-enhanced association of proteins due to electrostatic interaction: a coarse-grained simulation of actin-myosin binding.

Kei-ichi Okazaki1, Takato Sato, Mitsunori Takano.   

Abstract

Association of protein molecules constitutes the basis for the interaction network in a cell. Despite its fundamental importance, the thermodynamic aspect of protein-protein binding, particularly the issues relating to the entropy change upon binding, remains elusive. The binding of actin and myosin, which are vital proteins in motility, is a typical example, in which two different binding mechanisms have been argued: the binding affinity increases with increasing temperature and with decreasing salt-concentration, indicating the entropy-driven binding and the enthalpy-driven binding, respectively. How can these thermodynamically different binding mechanisms coexist? To address this question, which is of general importance in understanding protein-protein bindings, we conducted an in silico titration of the actin-myosin system by molecular dynamics simulation using a residue-level coarse-grained model, with particular focus on the role of the electrostatic interaction. We found a good agreement between in silico and in vitro experiments on the salt-concentration dependence and the temperature dependence of the binding affinity. We then figured out how the two binding mechanisms can coexist: the enthalpy (due to electrostatic interaction between actin and myosin) provides the basal binding affinity, and the entropy (due to the orientational disorder of water molecules) enhances it at higher temperatures. In addition, we analyzed the actin-myosin complex structures observed during the simulation and obtained a variety of weak-binding complex structures, among which were found an unusual binding mode suggested by an earlier experiment and precursor structures of the strong-binding complex proposed by electron microscopy. These results collectively indicate the potential capability of a residue-level coarse-grained model to simulate the association-dissociation dynamics (particularly for transient weak-bindings) exhibited by larger and more complicated systems, as in a cell.

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Year:  2012        PMID: 22559201     DOI: 10.1021/ja301447j

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  10 in total

1.  Statistical Thermodynamics for Actin-Myosin Binding: The Crucial Importance of Hydration Effects.

Authors:  Hiraku Oshima; Tomohiko Hayashi; Masahiro Kinoshita
Journal:  Biophys J       Date:  2016-06-07       Impact factor: 4.033

2.  Autoinhibitory mechanisms of ERG studied by molecular dynamics simulations.

Authors:  Yan Lu; Freddie R Salsbury
Journal:  AIP Adv       Date:  2015-01-22       Impact factor: 1.548

Review 3.  Enhanced sampling simulations to construct free-energy landscape of protein-partner substrate interaction.

Authors:  Jinzen Ikebe; Koji Umezawa; Junichi Higo
Journal:  Biophys Rev       Date:  2016-01-11

4.  Increased surface charge in the protein chaperone Spy enhances its anti-aggregation activity.

Authors:  Wei He; Jiayin Zhang; Veronika Sachsenhauser; Lili Wang; James C A Bardwell; Shu Quan
Journal:  J Biol Chem       Date:  2020-08-17       Impact factor: 5.157

Review 5.  Quantitative computational models of molecular self-assembly in systems biology.

Authors:  Marcus Thomas; Russell Schwartz
Journal:  Phys Biol       Date:  2017-05-23       Impact factor: 2.583

6.  Recapturing the Correlated Motions of Protein Using Coarse- Grained Models.

Authors:  Yan Lu; Freddie R Salsbury
Journal:  Protein Pept Lett       Date:  2015       Impact factor: 1.890

7.  Free energetics of carbon nanotube association in aqueous inorganic NaI salt solutions: Temperature effects using all-atom molecular dynamics simulations.

Authors:  Shu-Ching Ou; Di Cui; Matthew Wezowicz; Michela Taufer; Sandeep Patel
Journal:  J Comput Chem       Date:  2015-04-13       Impact factor: 3.376

8.  Inferring Conformational State of Myosin Motor in an Atomic Force Microscopy Image via Flexible Fitting Molecular Simulations.

Authors:  Sotaro Fuchigami; Shoji Takada
Journal:  Front Mol Biosci       Date:  2022-04-29

9.  Biased Brownian Motion of KIF1A and the Role of Tubulin's C-Terminal Tail Studied by Molecular Dynamics Simulation.

Authors:  Yukinobu Mizuhara; Mitsunori Takano
Journal:  Int J Mol Sci       Date:  2021-02-04       Impact factor: 5.923

10.  Coupling of lever arm swing and biased Brownian motion in actomyosin.

Authors:  Qing-Miao Nie; Akio Togashi; Takeshi N Sasaki; Mitsunori Takano; Masaki Sasai; Tomoki P Terada
Journal:  PLoS Comput Biol       Date:  2014-04-24       Impact factor: 4.475

  10 in total

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