Description
Modelling Metabolism with Mathematica
Authors: Mulquiney Peter, Kuchel Philip W.
Language: EnglishSubjects for Modelling Metabolism with Mathematica:
Keywords
Flux Control Coefficient; Control Coefficient; Steady State Rate Equation; Response Coefficients; Stoichiometry Matrix; Metabolic Control Analysis; Rate Equations; Erythrocyte Metabolism; V1 S2; Phosphoglycerate Mutase; Michaelis Menten Equation; Glucose Phosphate Isomerase; Parameter List; Steady State Concentrations; Reaction Scheme; Metabolite Concentrations; Compartment Volumes; Conservation Relationships; Vice Versa; Conservation Relations; Steady State Replacement; Merit Function; Steady State Parameters; Ass K3; Ordinary Differential Equations
Approximative price 74.82 €
In Print (Delivery period: 14 days).
Add to cart the book of Mulquiney Peter, Kuchel Philip W.Publication date: 10-2019
· 15.6x23.4 cm · Paperback
Approximative price 281.07 €
Subject to availability at the publisher.
Add to cart the book of Mulquiney Peter, Kuchel Philip W.Publication date: 05-2003
320 p. · 15.6x23.4 cm · Hardback
Description
/li>Contents
/li>Readership
/li>Biography
/li>
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.