內容簡介

Practical Enzyme Kinetics provides a practical how-to guide for beginning students, technicians, and non-specialists for evaluating enzyme kinetics using common software packages to perform easy enzymatic analyses.

序言

The treatment of enzyme kinetics in this book is radically different from the way the topic is traditionally covered. Marangoni stresses an understanding of how researchers arrive at models, what the models’ limitations are, and how they can be used in practical ways to analyze enzyme kinetic data. With the advent of computers, linear transformations of models have become unnecessary–Enzyme Kinetics does away with all linear transformations of enzyme kinetic models, advancing the use of nonlinear regression techniques. Marangoni develops new ways to carry out analyses of enzyme kinetic data, particularly in the study of pH effects on catalytic activity and multisubstrate enzymes. Other topics addressed include:

• Tools and techniques of kinetic analysis

• Reversible and irreversible enzyme inhibition

• Multisite and cooperative enzymes

• Immobilized and interfacial enzymes

• Characterization of enzyme stability

Enzyme Kinetics is a handy, innovative resource for practicing researchers in the chemical, pharmaceutical, and food science industries.

作者簡介

A. G. MARANGONI, PhD, is Professor and Canada Research Chair in Food and Soft Materials in the Department of Food Science at the University of Guelph, Ontario, Canada.

目次

Preface.

Tools and Techniques of Kinetic Analysis.

How do Enzymes Work?

Characterization of Enzyme Activity.

Reversible Enzyme Inhibition.

Irreversible Enzyme Inhibition.

pH Dependence of Enzyme-Catalyzed Reactions.

Two-Substrate Reactions.

Multisite and Cooperative Enzymes.

Immobilized Enzymes.

Interfacial Enzymes.

Transient Phases of Enzymatic Reactions.

Characterization of Enzyme Stability.

Mechanism-Based Inhibition (Leslie J. Copp).

Putting Kinetic Principles into Practice (Kirk L. Parkin).

Use of Enzyme Kinetic Data in the Study of Structure-Function Relationships of Proteins (Takuji Tanaka and Rickey Y. Yada).

Bibliography.

Index.