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With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and visualizing their responses has become accessible to students of biochemistry and the life sciences in general. Modelling Metabolism with Mathematica presents the approaches, methods, tools, and algorithms for modelling the chemical-dynamics of metabolic pathways. The authors explain the concepts underpinning the deterministic theory of chemical and enzyme kinetics, present a graded series of computer models of metabolic pathways leading up to that of the human erythrocyte, and document a consistent set of rate equations and associated kinetic parameters.
The experimental and theoretical study of metabolism in mammalian cells has a long and fruitful history, but our understanding of cellular metabolism at the molecular level is far from complete. This book enables its readers to formulate their own models of time-dependent metabolic systems and aids them in the quest for the many fundamental and clinically relevant discoveries that remain to be made.
List of contents
Introduction to Chemical Kinetics and Numerical Integration. Elements of Enzyme Kinetics. Basic Procedures for Simulating Metabolic Systems. Advanced Simulation of Metabolic Pathways. Metabolic Control Analysis. Parameter Estimation. Model of Red Cell Metabolism. Metabolic Control Analysis of Human Erythrocyte Metabolism. Appendices.
About the author
Mulquiney, Peter; Kuchel, Philip W.
Summary
Using the human erythrocyte as an example, this book presents the approaches, methods, tools, and algorithms for modelling the chemical-dynamics of metabolic pathways. It explains the concepts underpinning the deterministic theory of chemical and enzyme kinetics. It is of interest to readers involved with red cell enzymology.
