Details

From Enzyme Models to Model Enzymes


From Enzyme Models to Model Enzymes


1. Aufl.

von: Anthony J Kirby, Florian Hollfelder, Mike I Page, Andrew Williams

179,99 €

Verlag: Royal Society Of Chemistry
Format: PDF
Veröffentl.: 01.10.2009
ISBN/EAN: 9781847559784
Sprache: englisch
Anzahl Seiten: 228

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

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.
This introduction to the exciting area of artificial enzymes is suitable for students and more senior researchers.
Introduction Evaluation Classification by model system Classification by reaction Problems Glossary Index
Anthony J. Kirby is Professor (Emeritus) of Bioorganic Chemistry at the University of Cambridge. He has over 40 years teaching and research experience in the area and has authored over 300 papers and 3 books. Florian Hollfelder has been lecturering in Biochemistry since 2001. He has a total of 15 years teaching and research experience at Cambridge, Stanford & Harvard and has authored more than 30 papers.

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