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      The heat released during catalytic turnover enhances the diffusion of an enzyme.

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          Abstract

          Recent studies have shown that the diffusivity of enzymes increases in a substrate-dependent manner during catalysis. Although this observation has been reported and characterized for several different systems, the precise origin of this phenomenon is unknown. Calorimetric methods are often used to determine enthalpies from enzyme-catalysed reactions and can therefore provide important insight into their reaction mechanisms. The ensemble averages involved in traditional bulk calorimetry cannot probe the transient effects that the energy exchanged in a reaction may have on the catalyst. Here we obtain single-molecule fluorescence correlation spectroscopy data and analyse them within the framework of a stochastic theory to demonstrate a mechanistic link between the enhanced diffusion of a single enzyme molecule and the heat released in the reaction. We propose that the heat released during catalysis generates an asymmetric pressure wave that results in a differential stress at the protein-solvent interface that transiently displaces the centre-of-mass of the enzyme (chemoacoustic effect). This novel perspective on how enzymes respond to the energy released during catalysis suggests a possible effect of the heat of reaction on the structural integrity and internal degrees of freedom of the enzyme.

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          Most cited references30

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          Is Open Access

          Self-motile colloidal particles: from directed propulsion to random walk

          The motion of an artificial micro-scale swimmer that uses a chemical reaction catalyzed on its own surface to achieve autonomous propulsion is fully characterized experimentally. It is shown that at short times, it has a substantial component of directed motion, with a velocity that depends on the concentration of fuel molecules. At longer times, the motion reverts to a random walk with a substantially enhanced diffusion coefficient. Our results suggest strategies for designing artificial chemotactic systems.
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            Fluorescence correlation spectroscopy. I. Conceptual basis and theory

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              Can man-made nanomachines compete with nature biomotors?

              Biological nanomotors have evolved over million years to perform specific tasks with high efficiency. The remarkable performance of biomotors is inspiring scientists to create synthetic nanomachines that mimic the function of these amazing natural systems. This review discusses the challenges and opportunities facing artificial nanomotors and summarizes recent progress toward the development of such man-made nanomachines. Particular attention is given to catalytic nanowire motors propelled by the electrocatalytic decomposition of a chemical fuel. While artificial nanomotors pale compared to nature biomotors, recent advances indicate their great potential to perform diverse applications and demanding tasks. Such advances include significant improvements in the velocity, motion control, cargo-towing force, and lifetime of such catalytic nanomotors. As a result, artificial nanomotors can have velocities as large as 100 body lengths per second and relatively high powers to transport a "heavy" cargo within complex microchannel networks. Despite this impressive progress, man-made nanomachines still lack the efficiency, functionality, and force of their biological counterparts and are limited to a very narrow range of environments and fuels. Improved understanding of the behavior of catalytic nanomotors will facilitate the design of highly efficient and powerful artificial nanomachines for complex operations in diverse realistic environments, leading to practical nanoscale applications in the not-so-distant future.
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                Author and article information

                Journal
                Nature
                Nature
                1476-4687
                0028-0836
                Jan 8 2015
                : 517
                : 7533
                Affiliations
                [1 ] California Institute for Quantitative Biosciences, QB3, University of California, Berkeley, California 94720, USA.
                [2 ] 1] California Institute for Quantitative Biosciences, QB3, University of California, Berkeley, California 94720, USA [2] Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, 1058 Santiago, Chile.
                [3 ] Department of Physics, Indiana University-Purdue University Indianapolis (IUPUI), Indiana 46202, USA.
                [4 ] 1] California Institute for Quantitative Biosciences, QB3, University of California, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA.
                [5 ] 1] Department of Physics, Indiana University-Purdue University Indianapolis (IUPUI), Indiana 46202, USA [2] Department of Cellular and Integrative Physiology, Indiana University School of Medicine, Indiana 46202, USA.
                [6 ] 1] California Institute for Quantitative Biosciences, QB3, University of California, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA [3] Jason L. Choy Laboratory of Single-Molecule Biophysics and Department of Physics, University of California, Berkeley, California 94720, USA [4] Department of Chemistry, University of California, Berkeley, California 94720, USA [5] Howard Hughes Medical Institute, University of California, Berkeley, California 94720, USA [6] Kavli Energy Nano Sciences Institute, University of California, Berkeley and Lawrence Berkeley National Laboratory, California 94720, USA.
                Article
                nature14043 NIHMS662815
                10.1038/nature14043
                25487146
                f1081d93-0f4f-459c-8e07-23d1fb9772b5
                History

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