ArticleInterface focus2024
Optimal enzyme profiles in unbranched metabolic pathways.
Article in Interface focus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Trade-off between flux efficiency and metabolic control shapes enzyme allocation.Molecular systems biology · 2026Article
- Enzyme kinetics shapes the growth response of metabolic networks.PLoS computational biology · 2026Article
- Elucidating the metabolic landscape of Bacillus velezensis WY-65 in basic and cocktail nutrient media: a biocontrol approach against peanut web blotch.Journal of biological engineering · 2026Article
- Optimal enzyme profiles in unbranched metabolic pathways.Interface focus · 2024Article
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Authors and funding
2 authors.
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Abstract
How to optimize the allocation of enzymes in metabolic pathways has been a topic of study for many decades. Although the general problem is complex and nonlinear, we have previously shown that it can be solved by convex optimization. In this paper, we focus on unbranched metabolic pathways with simplified enzymatic rate laws and derive analytic solutions to the optimization problem. We revisit existing solutions based on the limit of mass-action rate laws and present new solutions for other rate laws. Furthermore, we revisit a known relationship between flux control coefficients and enzyme abundances in optimal metabolic states. We generalize this relationship to models with density constraints on enzymes and metabolites, and present a new local relationship between optimal reaction elasticities and enzyme amounts. Finally, we apply our theory to derive simple kinetics-based formulae for protein allocation during bacterial growth.
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