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Catalytically Perfect Enzymes

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.

Most enzymes...

Introduction to Mechanisms of Enzyme Catalysis

Introduction to Mechanisms of Enzyme Catalysis

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...

Enzyme Kinetics

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...

Induced-fit Model

Induced-fit Model

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.
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...

Enzymes

Enzymes

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.
Enzyme deficiencies can often translate into life-threatening diseases. For example, a genetic abnormality resulting in the deficiency of the enzyme G6PD...

Introduction to Enzymes

Introduction to Enzymes

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.’
Most enzymes are proteins that speed up biochemical reactions without being consumed. Enzymes contain one or more active sites that...

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Related Experiment Video

Updated: Mar 6, 2026

A New Screening Method for the Directed Evolution of Thermostable Bacteriolytic Enzymes

A New Screening Method for the Directed Evolution of Thermostable Bacteriolytic Enzymes

Published on: November 7, 2012

CADEE: Computer-Aided Directed Evolution of Enzymes.

Beat Anton Amrein¹, Fabian Steffen-Munsberg¹, Ireneusz Szeler¹

¹Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, S-751 24 Uppsala, Sweden.

|March 3, 2017

Summary

Computer-aided directed evolution of enzymes (CADEE) accelerates enzyme engineering. This new framework streamlines the preparation and analysis of in silico enzyme evolution, saving significant time.

Keywords:

computational directed evolution computational enzyme design distributed computing empirical valence bond triosephosphate isomerase

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Area of Science:

Biochemistry
Computational Biology
Enzyme Engineering

Background:

Enzymes are crucial biocatalysts driving significant research in enzyme engineering.
Methodologies for enzyme engineering are continuously being developed to improve efficiency and scope.

Purpose of the Study:

To introduce a novel framework for computer-aided directed evolution of enzymes (CADEE).
To demonstrate how CADEE significantly reduces the time required for in silico enzyme evolution.
To illustrate the CADEE workflow with a practical example in a biological system.

Main Methods:

Development of a new computational framework named CADEE.
Implementation of semi-automated directed evolution processes within the CADEE framework.
Application of CADEE to a specific biological system for workflow demonstration.

Main Results:

CADEE enables a substantial reduction in the time needed for preparing and analyzing enzyme evolution experiments.
The framework facilitates a more efficient in silico approach to enzyme engineering.
The pedagogical example successfully illustrates the practical utility of the CADEE workflow.

Conclusions:

The CADEE framework offers a significant advancement in accelerating enzyme engineering research.
Computer-aided directed evolution is a powerful tool for rapid enzyme optimization.
The presented methodology provides a streamlined approach for studying enzyme evolution computationally.