Modelling Metabolism with Mathematica
Book Details
Format
Hardback or Cased Book
ISBN-10
0849314682
ISBN-13
9780849314681
Publisher
Taylor & Francis Inc
Imprint
CRC Press Inc
Country of Manufacture
US
Country of Publication
GB
Publication Date
May 14th, 2003
Print length
328 Pages
Weight
770 grams
Product Classification:
Medical equipment & techniquesBiochemistry3D graphics & modelling
Ksh 47,700.00
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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.
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.
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.
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