ArticleScientific reports2020
Bridging substrate intake kinetics and bacterial growth phenotypes with flux balance analysis incorporating proteome allocation.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Coarse-grained resource allocation modeling for decoding and rewiring microbial metabolism.Trends in microbiology · 2026Review
- Metabolic reconstruction reveals ATP salvage as a key response to trimethoprim treatment.iScience · 2026Article
- Multiscale mechanistic insights into sonochemical energy coupling and flavor evolution in Pu‑erh tea.Ultrasonics sonochemistry · 2026Article
- Article
- Global constraint principle for microbial growth laws.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Sensitivities in protein allocation models reveal distribution of metabolic capacity and flux control.Bioinformatics (Oxford, England) · 2024Article
- DLTKcat: deep learning-based prediction of temperature-dependent enzyme turnover rates.Briefings in bioinformatics · 2023Article
- Simple Growth-Metabolism Relations Are Revealed by Conserved Patterns of Heat Flow from Cultured Microorganisms.Microorganisms · 2022Article
- A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS).Nature protocols · 2021Article
- Integrating Systems and Synthetic Biology to Understand and Engineer Microbiomes.Annual review of biomedical engineering · 2021Review
- Integration of enzyme constraints in a genome-scale metabolic model of Aspergillus niger improves phenotype predictions.Microbial cell factories · 2021Article
- A steady-state model of microbial acclimation to substrate limitation.PLoS computational biology · 2020Article
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2 authors.
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Abstract
Empirical kinetic models such as the Monod equation have been widely applied to relate the cell growth with substrate availability. The Monod equation shares a similar form with the mechanistically-based Michaelis-Menten kinetics for enzymatic processes, which has provoked long-standing and un-concluded conjectures on their relationship. In this work, we integrated proteome allocation principles into a Flux Balance Analysis (FBA) model of Escherichia coli, which quantitatively revealed potential mechanisms that underpin the phenomenological Monod parameters: the maximum specific growth rate could be dictated by the abundance of growth-controlling proteome and growth-pertinent proteome cost; more importantly, the Monod constant (K
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