ArticleNature communications2020
An analytical theory of balanced cellular growth.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Enzyme kinetics shapes the growth response of metabolic networks.PLoS computational biology · 2026Article
- On the conditions for shifts in metabolic strategies.PLoS computational biology · 2026Review
- Maintenance of cytoplasmic and membrane densities shapes cellular geometry in Escherichia coli.Nature communications · 2025Article
- GBA Solver: a user-friendly web server for growth balance analysis.Bioinformatics (Oxford, England) · 2025Article
- Nonequilibrium polysome dynamics promote chromosome segregation and its coupling to cell growth ineLife · 2025Article
- Codon usage modulates the relationship between the burden and yield of protein overexpression.Journal of biological engineering · 2025Article
- Distantly related bacteria share a rigid proteome allocation strategy with flexible enzyme kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Growth rate controls the sensitivity of gene regulatory circuits.Science advances · 2025Article
- Nonequilibrium polysome dynamics promote chromosome segregation and its coupling to cell growth inbioRxiv : the preprint server for biology · 2025Article
- Discretised Flux Balance Analysis for Reaction-Diffusion Simulation of Single-Cell Metabolism.Bulletin of mathematical biology · 2024Article
- Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate.Communications biology · 2024Article
- Review
- Steering and controlling evolution - from bioengineering to fighting pathogens.Nature reviews. Genetics · 2023Review
- Local flux coordination and global gene expression regulation in metabolic modeling.Nature communications · 2023Article
- Functional decomposition of metabolism allows a system-level quantification of fluxes and protein allocation towards specific metabolic functions.Nature communications · 2023Article
- Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning.Nature communications · 2023Article
- Optimal density of bacterial cells.PLoS computational biology · 2023Article
- Mathematical properties of optimal fluxes in cellular reaction networks at balanced growth.PLoS computational biology · 2023Article
- Resource allocation accounts for the large variability of rate-yield phenotypes across bacterial strains.eLife · 2023Article
- Shaping bacterial gene expression by physiological and proteome allocation constraints.Nature reviews. Microbiology · 2023Review
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2 authors.
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Abstract
The biological fitness of microbes is largely determined by the rate with which they replicate their biomass composition. Mathematical models that maximize this balanced growth rate while accounting for mass conservation, reaction kinetics, and limits on dry mass per volume are inevitably non-linear. Here, we develop a general theory for such models, termed Growth Balance Analysis (GBA), which provides explicit expressions for protein concentrations, fluxes, and growth rates. These variables are functions of the concentrations of cellular components, for which we calculate marginal fitness costs and benefits that are related to metabolic control coefficients. At maximal growth rate, the net benefits of all concentrations are equal. Based solely on physicochemical constraints, GBA unveils fundamental quantitative principles of cellular resource allocation and growth; it accurately predicts the relationship between growth rates and ribosome concentrations in E. coli and yeast and between growth rate and dry mass density in E. coli.
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