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Related Concept Videos

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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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

Introduction to Enzyme Kinetics

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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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Introduction to Enzymes01:22

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The use of enzymes by humans dates to 7000 BCE. Humans first used enzymes to ferment sugars and produce alcohol without knowing that this was an enzyme-catalyzed reaction. Wilhelm Kuhne coined the term 'enzyme' in 1877 from the Greek words ‘en’ meaning ‘in’ or ‘within’ and ‘zyme’ meaning ‘yeast.’
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Enzymes02:34

Enzymes

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Inside living organisms, enzymes act as catalysts for many biochemical reactions involved in cellular metabolism. The role of enzymes is to reduce the activation energies of biochemical reactions by forming complexes with its substrates. The lowering of activation energies favor an increase in the rates of biochemical reactions.
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Induced-fit Model01:13

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Most chemical reactions in cells require enzymes—biological catalysts that speed up the reaction without being consumed or permanently changed. They reduce the activation energy needed to convert the reactants into products. Enzymes are proteins, that usually work by binding to a substrate—a reactant molecule that they act upon.
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A New Screening Method for the Directed Evolution of Thermostable Bacteriolytic Enzymes
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Considering Metabolic Context in Enzyme Evolution and Design.

Dhiraj Dokwal1, Philip M Brown1, Karolina Filipowska1,2

  • 1Green Center for Systems Biology─Lyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, Texas 75230, United States.

Biochemistry
|August 5, 2025
PubMed
Summary
This summary is machine-generated.

Enzymes function within a cellular context, not in isolation. Understanding these interactions is key to metabolic evolution and designing new synthetic biological systems.

Keywords:
CRISPREscherichia coliNADPHdeep mutational scanningdihydrofolate reductase

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Area of Science:

  • Biochemistry
  • Systems Biology
  • Metabolic Engineering

Background:

  • Enzymes are typically studied as individual molecules, neglecting their in-cell interactions.
  • Cellular coordination via shared metabolites, physical binding, and feedback is crucial for metabolic function.
  • These interactions impose constraints on enzyme properties and evolution.

Purpose of the Study:

  • To review how cellular context influences enzyme evolution.
  • To explore how enzyme variations impact cellular fitness.
  • To define interaction-mediated constraints for understanding evolution and synthetic design.

Main Methods:

  • Literature review focusing on enzyme interactions within cellular environments.
  • Analysis of case studies on heterologous enzyme function.
  • Discussion of biochemical and biophysical factors influencing enzyme behavior in vivo.

Main Results:

  • Cellular context significantly shapes enzyme evolution and function.
  • Enzyme interactions constrain activity, specificity, abundance, and sequence.
  • Failure of heterologous enzymes highlights the importance of cellular milieu.

Conclusions:

  • Enzyme behavior is intrinsically linked to its cellular environment.
  • Understanding these constraints is vital for metabolic evolution research.
  • Knowledge of cell context is essential for successful synthetic biology design.