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The Regulation of Cellular Systems

TLDR
The basic equations of metabolic control analysis are rewritten in terms of co-response coefficients and internal response coefficients to describe the interaction of optimization methods and the interrelation with evolution.
Abstract
Introduction Fundamentals of biochemical modeling Balance equations Rate laws Generalized mass-action kinetics Various enzyme kinetic rate laws Thermodynamic flow-force relationships Power-law approximation Steady states of biochemical networks General considerations Stable and unstable steady states Multiple steady states Metabolic oscillations Background Mathematical conditions for oscillations Glycolytic oscillations Models of intracellular calcium oscillations A simple three-variable model with only monomolecular and bimolecular reactions Possible physiological significance of oscillations Stoichiometric analysis Conservation relations Linear dependencies between the rows of the stoichiometry matrix Non-negative flux vectors Elementary flux modes Thermodynamic aspects A generalized Wegscheider condition Strictly detailed balanced subnetworks Onsager's reciprocity reactions for coupled enyme reactions Time hierarchy in metabolism Time constants The quasi-steady-state approximation The Rapid equilibrium approximation Modal analysis Metabolic control analysis Basic definitions A systematic approach Theorems of metabolic control analysis Summation theorems Connectivity theorems Calculation of control coefficients using the theorems Geometrical interpretation Control analysis of various systems General remarks Elasticity coefficients for specific rate laws Control coefficients for simple hypothetical pathways Unbranched chains A branched system Control of erythrocyte energy metabolism The reaction system Basic model Interplay of ATP production and ATP consumption Glycolytic energy metabolism and osmotic states A simple model of oxidative phosphorylation A three-step model of serine biosynthesis Time-dependent control coefficients Are control coefficients always parameter independent? Posing the problem A system without conserved moieties A system with a conserved moiety A system including dynamic channeling Normalized versus non-normalized coefficients Analysis in terms of variables other than steady-state concentrations and fluxes General analysis Concentration ratios and free-energy-differences as state variables Entropy production as response variable Control of transient times Control of oscillations A second-order approach A quantitative approach to metabolic regulations Co-response coefficients Fluctuations of internal variables versus parameter perturbations Internal response coefficients Rephrasing the basic equations of metabolic control analysis in terms of co-response coefficients and internal response coefficients Control within and between subsystems Modular approach Overall elasticities Overall control coefficients Flux control insusceptibility Control exerted by elementary steps in enzyme catalysis Control analysis of metabolic channeling Comparison of metabolic control analysis and power-law formalism Computational aspects Application of optimization methods and the interrelation with evolution Optimization of the catalytic properties of single enzymes Basic assumptions Optimal values of elementary rate constants Optimal Michaelis constants Optimization of multienzyme systems Maximization of steady-state flux Influence of osmotic constraints and minimization of intermediate concentrations Minimization of transient times Optimal stoichiometries.

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Citations
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Journal ArticleDOI

KEGGtranslator: visualizing and converting the KEGG PATHWAY database to various formats

TL;DR: KEGGtranslator is an easy-to-use stand-alone application that can visualize and convert KGML formatted XML-files into multiple output formats, and is able to augment the information in translated documents, and amends missing components to fragmentary reactions within the pathway to allow simulations on those.
Journal ArticleDOI

Model reduction by extended quasi-steady-state approximation.

TL;DR: It is proved that the trimolecular autocatalator can be approximated by a fast bimolecular reaction system and a class of singularly perturbed systems for which a higher order QSSA can easily be obtained.
Journal ArticleDOI

Model reduction and analysis of robustness for the Wnt/beta-catenin signal transduction pathway.

TL;DR: It is shown that robustness of the Wnt/beta-catenin signalling pathway depends on structural as well as kinetic properties of the pathway, which allows to characterise the robustnessof the pathway against perturbations in stimulated and unstimulated states.
Book ChapterDOI

Metabolic control analysis as a tool in the elucidation of the function of novel genes

TL;DR: The chapter explains the basic concepts and theorems of MCA with respect to its implications for the elucidation of the functions of novel genes and uses a simple kinetic model that mimics functional analysis experiments.
Journal ArticleDOI

Metabolomic biomarkers: search, discovery and validation

TL;DR: There are many reasons why it is appropriate to concentrate on the metabolome (BOX 1), the most significant being that it hinges upon the properties of networks, and is thus an issue of systems biology.
References
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Potential, impedance, and rectification in membranes

TL;DR: A theoretical picture has been presented based on the use of the general kinetic equations for ion motion under the influence of diffusion and electrical forces and on a consideration of possible membrane structures that shows qualitative agreement with the rectification properties and very good agreementwith the membrane potential data.
Book

Linear Multivariable Control: A Geometric Approach

TL;DR: In this article, the authors present an approach to controlability, feedback assignment, and pole shifting in a single linear functional model, where the observer is assumed to be a dynamic observer.