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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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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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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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A New Screening Method for the Directed Evolution of Thermostable Bacteriolytic Enzymes
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Comparative laboratory evolution of ordered and disordered enzymes.

Cindy Schulenburg1, Yvonne Stark1, Matthias Künzle1

  • 1From the Laboratory of Organic Chemistry, Eidgenössische Technische Hochschule Zürich, 8093 Zürich, Switzerland.

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|February 21, 2015
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Structural disorder in proteins offers evolutionary advantages. Researchers compared ordered and disordered dihydrofolate reductase variants, finding both evolved similar catalytic efficiency, suggesting disorder aids protein evolution.

Keywords:
Directed EvolutionEnzymeEnzyme CatalysisIntrinsically Disordered ProteinProtein Dynamic

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Area of Science:

  • Biochemistry
  • Protein Engineering
  • Evolutionary Biology

Background:

  • Intrinsically disordered proteins (IDPs) are common in nature, but their evolutionary roles are not fully understood.
  • Structural disorder can influence protein function and adaptability.
  • Dihydrofolate reductase (DHFR) serves as a model enzyme for studying protein evolution.

Purpose of the Study:

  • To investigate the evolutionary potential of intrinsically disordered proteins compared to ordered proteins.
  • To determine if structural disorder confers advantages or disadvantages during protein evolution.
  • To compare the evolvability of ordered and disordered dihydrofolate reductase variants under laboratory conditions.

Main Methods:

  • Utilized genetic selection to evolve weakly active ordered and disordered variants of dihydrofolate reductase.
  • Employed circularly permuted E. coli DHFR (molten globule state) and a folded B. stearothermophilus DHFR deletion mutant as starting scaffolds.
  • Performed multiple rounds of mutagenesis and selection to assess evolutionary rates and outcomes.

Main Results:

  • Both ordered and disordered DHFR scaffolds evolved at comparable rates and reached similar near-native catalytic activities after three rounds of selection.
  • The initial structural properties of the ordered and disordered scaffolds remained largely unchanged throughout the optimization process.
  • Distinct sets of mutations were acquired by each scaffold, indirectly enhancing catalytic efficiency by optimizing dynamic conformational fluctuations.

Conclusions:

  • Structural disorder does not hinder, and may even facilitate, protein evolvability.
  • The evolution of catalytic efficiency in DHFR variants is achieved through indirect mechanisms, such as enhancing productive protein dynamics.
  • Understanding the interplay between protein structure, dynamics, and evolution is crucial for protein engineering and drug design.