The spatial organization of enzymes often plays a crucial role in the functionality and efficiency of enzymatic pathways. To fully understand the design and operation of enzymatic pathways, it is therefore crucial to understand how the relative arrangement of enzymes affects pathway function. Here we investigate the effect of enzyme localization on the flux of a minimal two-enzyme pathway within a reaction-diffusion model. We consider different reaction kinetics, spatial dimensions, and loss mechanisms for intermediate substrate molecules. Our systematic analysis of the different regimes of this model reveals both universal features and distinct characteristics in the phenomenology of these different systems. In particular, the distribution of the second pathway enzyme that maximizes the reaction flux undergoes a generic transition from co-localization with the first enzyme when the catalytic efficiency of the second enzyme is low, to an extended profile when the catalytic efficiency is high. However, the critical transition point and the shape of the extended optimal profile is significantly affected by specific features of the model. We explain the behavior of these different systems in terms of the underlying stochastic reaction and diffusion processes of single substrate molecules.
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7 October 2013
Research Article|
October 01 2013
Optimization of collective enzyme activity via spatial localization
Alexander Buchner;
Alexander Buchner
Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience,
Ludwig-Maximilians-Universität
, 80333 München, Germany
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Filipe Tostevin;
Filipe Tostevin
Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience,
Ludwig-Maximilians-Universität
, 80333 München, Germany
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Florian Hinzpeter;
Florian Hinzpeter
Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience,
Ludwig-Maximilians-Universität
, 80333 München, Germany
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Ulrich Gerland
Ulrich Gerland
a)
Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience,
Ludwig-Maximilians-Universität
, 80333 München, Germany
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a)
Electronic mail: [email protected]
J. Chem. Phys. 139, 135101 (2013)
Article history
Received:
July 08 2013
Accepted:
September 13 2013
Citation
Alexander Buchner, Filipe Tostevin, Florian Hinzpeter, Ulrich Gerland; Optimization of collective enzyme activity via spatial localization. J. Chem. Phys. 7 October 2013; 139 (13): 135101. https://doi.org/10.1063/1.4823504
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