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The enzyme cost of metabolic fluxes

Authors: Liebermeister, Wolfram; Noor, Elad;

The enzyme cost of metabolic fluxes

Abstract

This is a chapter from the free textbook "Economic Principles in Cell Biology" In this chapter we discuss why certain pathway designs have been selected by evolution, by hypothesizing that some are more beneficial than others – based on several possible criteria and optimization goals: minimizing the number of reactions, maximizing product yield, increasing reaction turnover rates, and avoiding small thermodynamic driving forces. It turns out that all these criteria are related to a single objective: minimizing enzyme demand per product production rate or, equivalently, maximizing “enzyme productivity”. We first focus on simple unbranched pathways with predefined flux distributions. We discuss several feasibility and optimality problems where metabolite concentrations are independent variables and solve for the minimal enzyme demand. In this setting, we see how enzyme productivity can be assessed or predicted and how it depends on different system parameters such as kinetics, thermodynamics, and concentrations of enzymes and metabolites. We discuss the difference between growth rate and yield. We then illustrate it by comparing between pathway options for glycolysis.

Country
France
Keywords

Enzyme demand, Enzyme cost, Choice between pathways, max-min driving force, thermodynamic force, Max-min driving force, enzyme efficiency, Rate-yield trade-off, metabolic pathway, Enzyme cost minimization, Enzyme efficiency, metabolite cost, rate-yield trade-off, Enzyme demand enzyme cost rate-yield trade-off thermodynamic force enzyme efficiency metabolic pathway metabolite cost factorized rate law max-min driving force enzyme cost minimization choice between pathways, [SDV] Life Sciences [q-bio], Thermodynamic force, factorized rate law, Metabolic pathway, enzyme cost minimization, enzyme cost, Factorized rate law, Metabolite cost, choice between pathways

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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