Literature DB >> 16248654

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

Yosef Yehuda Kuttner1, Noga Kozer, Eugenia Segal, Gideon Schreiber, Gilad Haran.   

Abstract

The association of two proteins is preceded by a mutual diffusional search in solution. The role of translational and rotational diffusion in this process has been studied theoretically for many years. However, systematic experimental verification of theoretical results is still lacking. We report here measurements of association rates of the proteins beta-lactamase (TEM) and beta-lactamase inhibitor protein (BLIP) in solutions of glycerol and poly(ethylene glycol) of increasing viscosity. We also measured translational and rotational diffusion in the same solutions, using fluorescence correlation spectroscopy and fluorescence anisotropy, respectively. It is found that in glycerol both translational and rotational diffusion rates are inversely dependent on viscosity, as predicted by the classical Stokes-Einstein relations, while the association rate depends nonlinearly on viscosity. In contrast, the association rate depends only weakly on the viscosity of the polymer solutions, which results in a similar weak dependence of k(on) on viscosity. The data are modeled using the theory of diffusion-limited association. Deviations from the theory are explained by a short-range solute-induced repulsion between the proteins in glycerol solution and an attractive depletion interaction generated by the polymers. These results open the way to the creation of a unified framework for all nonspecific effects involved in the protein association process, as well as to better theoretical understanding of these effects. Further, they reflect on the complex factors controlling protein association within the crowded environment of cells and suggest that a high concentration of macromolecules does not significantly impede protein association.

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Year:  2005        PMID: 16248654     DOI: 10.1021/ja053681c

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


  27 in total

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

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8.  Molecular crowding enhances facilitated diffusion of two human DNA glycosylases.

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Journal:  Nucleic Acids Res       Date:  2015-04-06       Impact factor: 16.971

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10.  Diffusion, crowding & protein stability in a dynamic molecular model of the bacterial cytoplasm.

Authors:  Sean R McGuffee; Adrian H Elcock
Journal:  PLoS Comput Biol       Date:  2010-03-05       Impact factor: 4.475

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