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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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Book ChapterDOI

On Inner and Outer Descriptions of the Steady-State Flux Cone of a Metabolic Network

TL;DR: This paper gives a generic procedure to show how inner descriptions can be computed from the outer one, and explains why, for large-scale metabolic networks, the size of the inner descriptions may be several orders of magnitude larger than that of the outer description.
Journal ArticleDOI

Travel in city road networks follows similar transport trade-off principles to neural and plant arbors.

TL;DR: The theory of Pareto optimality is used to study this design trade-off in the road networks of 101 cities, with wide-ranging population sizes, land areas and geographies, and finds that most cities analysed lie near the Pare to front and are significantly closer to the front than expected by alternate design structures.
Dissertation

Symbolic Control Analysis of Cellular Systems

TL;DR: A general implementation of the symbolic matrix inversion of MCA through symbolic algebraic computation is presented, which allows an in-depth analysis of where the control within a system lies and which parameters have the greatest effect on this control distribution, even if the exact values of the elasticities or control coefficients are unknown.
Journal ArticleDOI

Deciphering the regulation of metabolism with dynamic optimization: an overview of recent advances.

TL;DR: This short review summarizes recent advances in the elucidation of optimal regulatory strategies and identification of optimal control points in metabolic pathways and discusses biological implications of the discovered optimality principles on genome organization.
Journal ArticleDOI

Parametric Sensitivity Analysis of Oscillatory Delay Systems with an Application to Gene Regulation.

TL;DR: A parametric sensitivity analysis for periodic solutions of delay-differential equations is developed, which focuses on sensitivities of the extrema, from which amplitude sensitivities are computed, and of the period.
References
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The geometry of biological time , by A. T. Winfree. Pp 544. DM68. Corrected Second Printing 1990. ISBN 3-540-52528-9 (Springer)

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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.