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A deep and analytical understanding of the human
metabolism grabbed attention of scientists from
biology, medicine and pharmacy. Mathematical models
of metabolic pathways offer several advances for
this deep and analytical understanding due to their
incompensable potential in predicting metabolic
processes and anticipating appropriate interventions
when required. This book concerns mathematical
modelling analysis and simulation of metabolic
pathways. These pathways include intracellular and
extracellular compounds such as enzymes,
metabolites, nucleotides and cofactors. The
mathematical models are either in the form of
nonlinear ordinary differential equations (ODE's) or
differential algebraic equations (DAE's). These
equations are composed of kinetic parameters such as
kinetic rate constants, initial rates and
concentrations of metabolites. In this book, an
enzymatic system which includes Creatine Kinase,
Hexokinase and Glucose 6-Phosphate Dehydrogenase (CK-
HK-G6PDH) is modelled in the form of DAE's, solved
numerically and the system parameters are estimated.
metabolism grabbed attention of scientists from
biology, medicine and pharmacy. Mathematical models
of metabolic pathways offer several advances for
this deep and analytical understanding due to their
incompensable potential in predicting metabolic
processes and anticipating appropriate interventions
when required. This book concerns mathematical
modelling analysis and simulation of metabolic
pathways. These pathways include intracellular and
extracellular compounds such as enzymes,
metabolites, nucleotides and cofactors. The
mathematical models are either in the form of
nonlinear ordinary differential equations (ODE's) or
differential algebraic equations (DAE's). These
equations are composed of kinetic parameters such as
kinetic rate constants, initial rates and
concentrations of metabolites. In this book, an
enzymatic system which includes Creatine Kinase,
Hexokinase and Glucose 6-Phosphate Dehydrogenase (CK-
HK-G6PDH) is modelled in the form of DAE's, solved
numerically and the system parameters are estimated.