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Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

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The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
 
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The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
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Introduction to Mechanisms of Enzyme Catalysis01:13

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For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
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Introduction to Enzyme Kinetics01:19

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Enzyme kinetics studies the rates of biochemical reactions. Scientists monitor the reaction rates for a particular enzymatic reaction at various substrate concentrations. Additional trials with inhibitors or other molecules that affect the reaction rate may also be performed.
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Catalysis02:50

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The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.
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Enzyme Catalytic Parameters and Evolution Across the Dissipation Plane.

Davor Juretić1, Branka Bruvo Mađarić2

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Summary

Enzymes evolve towards physical limits, with their performance linked to energy dissipation. This study reveals how thermodynamic principles and evolutionary selection shape enzyme function through entropy production.

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enzyme efficiencyevolutionevolutionary distancespartial entropy productionscale-invariant dissipation planethermodynamic constraintsturnover number

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Area of Science:

  • Biochemistry
  • Thermodynamics
  • Evolutionary Biology

Background:

  • Enzyme performance varies widely due to evolution and natural selection.
  • Catalytic efficiencies of some enzymes approach physical limits, highlighting physical constraints.
  • Understanding these constraints is crucial for enzyme engineering, especially in irreversible processes.

Purpose of the Study:

  • To explore the link between enzyme kinetics, energetic dissipation, and evolutionary selection.
  • To synthesize evidence for enzymes occupying a characteristic dissipation plane.
  • To support dissipation as a parameter connecting enzyme kinetics, evolution, and nonequilibrium thermodynamics.

Main Methods:

  • Review of theoretical and experimental advances in nanothermodynamics and stochastic thermodynamics.
  • Analysis of enzyme kinetic parameters and their relationship to energetic dissipation.
  • Synthesis of evidence across diverse enzyme families.

Main Results:

  • Enzyme kinetic parameters are systematically linked to energetic dissipation.
  • Enzymes occupy a characteristic dissipation plane defined by entropy production.
  • Correlated increases in dissipation, evolutionary divergence, and enzymatic performance were observed across enzyme families.

Conclusions:

  • Dissipation is a physically grounded parameter connecting enzyme kinetics, biological evolution, and nonequilibrium thermodynamics.
  • Thermodynamic principles and evolutionary selection are coupled in shaping enzyme function.
  • Further understanding of these constraints is essential for rational enzyme engineering.