From enzyme models to model enzymes
- Kirby, Anthony J. (Anthony John), 1935-
- Cambridge, UK : RSC Pub., c2009.
- Physical description
- xi, 273 p. : ill. (some col.) ; 25 cm.
QP601 .K53 2009
- Unknown QP601 .K53 2009
- Hollfelder, Florian.
- Includes bibliographical references (p. 248-265) and index.
- Introduction Evaluation Classification by model system Classification by reaction Problems Glossary Index.
- (source: Nielsen Book Data)
- Publisher's Summary
- Designing artificial systems with catalytic efficiencies to rival those of natural enzymes is one of the great challenges facing science today. Our current level of understanding fails the basic, practical test - designing and making artificial systems with catalytic efficiencies to rival those of natural enzymes. Chemists and bio-scientists are well aware of this problem, and "artificial enzymes" have been a "hot topic" for many years. However, until now, there has been no book devoted specifically to this subject. This is the first book to provide a critical introduction to, and overview of, this exciting area. It is aimed at students and more senior researchers with specialist or general interests in the field. The book starts with a systematic overview of the most important properties of natural enzymes, with special emphasis on mechanisms and efficiency of catalysis. This is followed by a summary of the mechanisms involved in the major classes of reaction they catalyze, and spells out the logical progression from simple mechanistic models for particular reactions to the first, rudimentary artificial enzymes catalyzing them. Catalytic efficiency is the key criterion for inclusion. An analysis of the strengths and limitations of the classical design-based approach to catalysis by enzyme mimics leads on to a discussion of recent advances which use selection methods coupled with iterative techniques for creating and improving catalysts by natural methods. The comparison of natural and artificial catalysts requires a quantitative understanding based on the interpretation of kinetic measurements. Key skills in data interpretation are introduced in a guided approach that connects the formal treatment of kinetic measurements with their chemical and biological interpretation.
(source: Nielsen Book Data)
- Publication date
- Anthony J. Kirby, Florian Hollfelder.