Computational Analysis of Biochemical Systems
A Practical Guide for Biochemists and Molecular Biologists
Out of Print
- Author: Eberhard O. Voit, Medical University of South Carolina
- Date Published: September 2000
- availability: Unavailable - out of print
- format: Paperback
- isbn: 9780521785792
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A true understanding of genetic and metabolic function and design is facilitated by mathematical and computational methods for analyzing biochemical systems. This hands-on reference teaches biochemists and molecular biologists the use of modern computational methods for the analysis of complex biomedical systems requiring a modest mathematical background. The book begins with representations of biochemical systems, provides guidelines for setting up models, details mathematical and computational methods of parameter estimation and model analysis, and connects to the modern literature with four detailed case studies. Every step is illustrated with examples and explored with accompanying PLAS software. The volume also features over 250 exercises with about one quarter fully or partially solved.
Read more- First text on biochemical systems analysis since Savageau's 1976 book
- Includes PLAS software
- Very modest mathematical background will suffice, as long as the reader is interested in learning new quantitative concepts
Reviews & endorsements
"I found the introduction to this book absolutely fascinating...I enjoyed this book enormously. Having had to learn all this stuff on my own, I was happy to see it all (and more!) outlined in a single source. This book is unique in many ways...I highly recommend the book to scientists interested in dynamics/kinetics of complex systems." Journal of Food Biochemistry
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×Product details
- Date Published: September 2000
- format: Paperback
- isbn: 9780521785792
- length: 544 pages
- dimensions: 254 x 179 x 28 mm
- weight: 0.988kg
- contains: 182 b/w illus. 37 tables 235 exercises
- availability: Unavailable - out of print
Table of Contents
Preface
Introduction
1. Graphical representation of biochemical systems
2. Models of biochemical systems
3. From maps to equations
4. Computer simulation
5. Parameter estimation
6. Analytical steady-state evaluation
7. Sensitivity analysis
8. Case study 1 - Anaerobic fermentation pathway in Saccharomyces cerevisiae
9. Case study 2 - diagnosis and refinement of a model of the tricarboxylic acid cycle in Dictyostelium discoideum
10. Case study 3 - A sequence of models describing purine metabolism
11. Case study 4 - Algebraic analysis of the initial steps of the Glycolytic-Glycogenolytic pathway in perfused rat liver
12. Epilogue-Canonical modeling beyond biochemistry
Appendix
Hints and solutions
References
Author index
Subject index.
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