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Related Concept Videos

Enzyme Kinetics01:19

Enzyme Kinetics

Enzymes speed up reactions by lowering the activation energy of the reactants. The speed at which the enzyme turns reactants into products is called the rate of reaction. Several factors impact the rate of reaction, including the number of available reactants. Enzyme kinetics is the study of how an enzyme changes the rate of a reaction.
Scientists typically study enzyme kinetics with a fixed amount of enzyme in the controlled environment of a test tube. When more reactant, or substrate, is...
Mechanical Protein Functions01:58

Mechanical Protein Functions

Proteins perform many mechanical functions in a cell. These proteins can be classified into two general categories- proteins that generate mechanical forces and proteins that are subjected to mechanical forces. Proteins providing mechanical support to the structure of the cell, such as keratin, are subjected to mechanical force, whereas proteins involved in cell movement and transport of molecules across cell membranes, such as an ion pump, are examples of generating mechanical force. 
Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

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.
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

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.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion. The...

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Related Experiment Video

Updated: Jul 13, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

RETRACTED: Computational design of a biologically active enzyme.

Mary A Dwyer1, Loren L Looger, Homme W Hellinga

  • 1Department of Biochemistry, Duke University Medical Center, Durham, NC 27710, USA.

Science (New York, N.Y.)
|June 26, 2004
PubMed
Summary

Computational enzyme design successfully introduced triose phosphate isomerase activity into a non-enzymatic protein using 18-22 mutations. The engineered enzymes show significant rate enhancements and biological activity, supporting bacterial growth.

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Area of Science:

  • Protein chemistry
  • Enzyme engineering
  • Computational biology

Background:

  • Enzyme activity is crucial for biological processes.
  • Rational enzyme design is a challenging but important field.
  • Understanding protein structure-function relationships is key.

Purpose of the Study:

  • To computationally design and experimentally validate enzyme activity in a protein lacking it.
  • To introduce triose phosphate isomerase (TIM) activity into ribose-binding protein (RBP).
  • To demonstrate the generality of the computational design approach.

Main Methods:

  • Utilized computational methods to predict mutations for introducing TIM activity into RBP.
  • Designed proteins with 18 to 22 specific mutations.
  • Experimentally validated the designed enzymes' activity and biological function.

Main Results:

  • The designed proteins exhibited 10^5- to 10^6-fold rate enhancements compared to the uncatalyzed reaction.
  • The engineered enzymes demonstrated biological activity, supporting Escherichia coli growth under gluconeogenic conditions.
  • Successfully introduced a new enzymatic function into a non-enzymatic protein scaffold.

Conclusions:

  • The computational design approach is effective for creating novel enzyme activities.
  • This method has broad potential for designing a wide range of enzymes.
  • The study validates the power of rational protein design in synthetic biology.