Title :
Application of a generalized MWC model for the mathematical simulation of metabolic pathways regulated by allosteric enzymes
Author :
Najdi, Tarek S. ; Yang, Chin-Rang ; Shapiro, Bruce E. ; Hatfield, G. Wesley ; Mjolsness, Eric D.
Author_Institution :
Inst. for Genomics & Bioinformatics, California Univ., Irvine, CA, USA
Abstract :
In our effort to elucidate the systems biology of the model organism, Escherichia coli, we have developed a mathematical model that simulates the allosteric regulation for threonine biosynthesis pathway starting from aspartate. To achieve this goal, we used kMech, a Cellerator language extension that describes enzyme mechanisms for the mathematical modeling of metabolic pathways. These mechanisms are converted by Cellerator into ordinary differential equations (ODEs) solvable by Mathematica™. In this paper, we describe a more flexible model in Cellerator, which generalizes the Monod, Wyman, Changeux (MWC) model for enzyme allosteric regulation to allow for multiple substrate, activator and inhibitor binding sites. Furthermore, we have developed a model that describes the behavior of the bifunctional allosteric enzyme aspartate Kinase I-Homoserine Dehydrogenase I (AKI-HDHI). This model predicts the partition of enzyme activities in the steady state which paves a way for a more generalized prediction of the behavior of bifunctional enzymes.
Keywords :
biochemistry; biology computing; differential equations; enzymes; inhibitors; microorganisms; molecular biophysics; AKI-HDHI; Cellerator language extension; Escherichia coli; MWC model; Mathematica; Monod Wyman Changeux model; allosteric enzyme; aspartate; bifunctional enzyme; inhibitor binding site; kMech; kinase I-homoserine dehydrogenase I; mathematical model; mathematical simulation; metabolic pathway; ordinary differential equation; system biology; threonine biosynthesis pathway; Amino acids; Biochemistry; Biological system modeling; Differential equations; Inhibitors; Mathematical model; Organisms; Predictive models; Steady-state; Systems biology;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7695-2344-7
DOI :
10.1109/CSB.2005.15