Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists - Hardcover

Voit, Eberhard O.

Hardcover

ISBN 10: 052178087X ISBN 13: 9780521780872

Publisher: Cambridge University Press, 2000

Synopsis

Throughout the foreseeable future, research in medicine, molecular biology, and biotechnology will be dominated by scientific advances resulting from the Human Genome Project. Knowledge of genomes will elucidate disease patterns and promise improved and personalized treatments. Food and drug development will be revolutionized by focused manipulation of genes and biochemical processes. Researchers will begin to construct metabolic pathways from scratch. A true understanding of genetic and metabolic function and design will depend on mathematical and computational methods for analyzing biochemical systems. It will require new ways of thinking and novel approaches of integrative analysis. This book teaches biochemists and molecular biologists the use of modern computational methods for the analysis of complex biomedical systems without assuming more than a modest background in mathematics. The book begins with representations of biochemical systems, provides guidelines for setting up models, discusses in detail mathematical and computational methods of parameter estimation and model analysis, and ultimately connects to the modern literature with four detailed case studies. Every step is illustrated with examples and explored with accompanying software.

About this title

Review

'... is not only a fine, but a long overdue, book ... this is an excellent introduction to a complex field, which I am happy to recommend to anyone.' Darren Flower, Chemistry in Britain

Book Description

This book teaches the use of modern computational methods for the analysis of complex biomedical systems. The book begins with representations of biochemical systems, provides guidelines for setting up models and discusses mathematical and computational methods of parameter estimation and model analysis. Every step, including four detailed case studies, is illustrated with examples and explored with accompanying software.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2000
• Language: English
• ISBN 10: 052178087X
• ISBN 13: 9780521780872
• Binding: Hardcover
• Number of pages: 544