Literature DB >> 8396447

Brownian dynamics study of the influences of electrostatic interaction and diffusion on protein-protein association kinetics.

H X Zhou1.   

Abstract

A unified model is presented for protein-protein association processes that are under the influences of electrostatic interaction and diffusion (e.g., protein oligomerization, enzyme catalysis, electron and energy transfer). The proteins are modeled as spheres that bear point charges and undergo translational and rotational Brownian motion. Before association can occur the two spheres have to be aligned properly to form a reaction complex via diffusion. The reaction complex can either go on to form the product or it can dissociate into the separate reactants through diffusion. The electrostatic interaction, like diffusion, influences every step except the one that brings the reaction complex into the product. The interaction potential is obtained by extending the Kirkwood-Tanford protein model (Tanford, C., and J. G. Kirkwood. 1957. J. Am. Chem. Soc. 79:5333-5339) to two charge-embedded spheres and solving the consequent equations under a particular basis set. The time-dependent association rate coefficient is then obtained through Brownian dynamics simulations according an algorithm developed earlier (Zhou, H.-X. 1990. J. Phys. Chem. 94:8794-8800). This method is applied to a model system of the cytochrome c and cytochrome c peroxidase association process and the results confirm the experimental dependence of the association rate constant on the solution ionic strength. An important conclusion drawn from this study is that when the product is formed by very specific alignment of the reactants, as is often the case, the effect of the interaction potential is simply to scale the association rate constant by a Boltzmann factor. This explains why mutations in the interface of the reaction complex have strong influences on the association rate constant whereas those away from the interface have minimal effects. It comes about because the former mutations change the interaction potential of the reaction complex significantly and the latter ones do not.

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Year:  1993        PMID: 8396447      PMCID: PMC1262506          DOI: 10.1016/S0006-3495(93)81543-1

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  9 in total

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Authors:  C H Kang; D L Brautigan; N Osheroff; E Margoliash
Journal:  J Biol Chem       Date:  1978-09-25       Impact factor: 5.157

2.  Kinetics of protein-protein association explained by Brownian dynamics computer simulation.

Authors:  S H Northrup; H P Erickson
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-15       Impact factor: 11.205

3.  Effects of surface amino acid replacements in cytochrome c peroxidase on complex formation with cytochrome c.

Authors:  A F Corin; G McLendon; Q Zhang; R A Hake; J Falvo; K S Lu; R B Ciccarelli; D Holzschu
Journal:  Biochemistry       Date:  1991-12-10       Impact factor: 3.162

4.  Electrostatic effects in myoglobin. Hydrogen ion equilibria in sperm whale ferrimyoglobin.

Authors:  S J Shire; G I Hanania; F R Gurd
Journal:  Biochemistry       Date:  1974-07-02       Impact factor: 3.162

Review 5.  Electrostatic effects in proteins.

Authors:  J B Matthew
Journal:  Annu Rev Biophys Biophys Chem       Date:  1985

6.  Orientation constraints in diffusion-limited macromolecular association. The role of surface diffusion as a rate-enhancing mechanism.

Authors:  O G Berg
Journal:  Biophys J       Date:  1985-01       Impact factor: 4.033

7.  Calculation of the electric potential in the active site cleft due to alpha-helix dipoles.

Authors:  J Warwicker; H C Watson
Journal:  J Mol Biol       Date:  1982-06-05       Impact factor: 5.469

8.  Diffusion-controlled bimolecular reaction rates. The effect of rotational diffusion and orientation constraints.

Authors:  D Shoup; G Lipari; A Szabo
Journal:  Biophys J       Date:  1981-12       Impact factor: 4.033

9.  Electrostatic attraction governs the dimer assembly of human hemoglobin.

Authors:  N T Mrabet; M J McDonald; S Turci; R Sarkar; A Szabo; H F Bunn
Journal:  J Biol Chem       Date:  1986-04-15       Impact factor: 5.157

  9 in total
  61 in total

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7.  Finite element solution of the steady-state Smoluchowski equation for rate constant calculations.

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Journal:  Biophys J       Date:  2004-04       Impact factor: 4.033

8.  Transient tether between the SRP RNA and SRP receptor ensures efficient cargo delivery during cotranslational protein targeting.

Authors:  Kuang Shen; Shu-ou Shan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-12       Impact factor: 11.205

9.  Decoding the components of dynamics in three-domain proteins.

Authors:  Mateusz Maciejewski; Paul N Barlow; Nico Tjandra
Journal:  J Comput Chem       Date:  2013-12-09       Impact factor: 3.376

10.  Calmodulin Gates Aquaporin 0 Permeability through a Positively Charged Cytoplasmic Loop.

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