- Home
- Publications
- Publication Search
- Publication Details
Title
An analytical theory of balanced cellular growth
Authors
Keywords
-
Journal
Nature Communications
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-03-06
DOI
10.1038/s41467-020-14751-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Elementary Growth Modes provide a molecular description of cellular self-fabrication
- (2020) Daan H. de Groot et al. PLoS Computational Biology
- The number of active metabolic pathways is bounded by the number of cellular constraints at maximal metabolic rates
- (2019) Daan H. de Groot et al. PLoS Computational Biology
- Metabolic kinetic modeling provides insight into complex biological questions, but hurdles remain
- (2019) Jonathan Strutz et al. CURRENT OPINION IN BIOTECHNOLOGY
- A model of optimal protein allocation during phototrophic growth
- (2018) Marjan Faizi et al. BIOSYSTEMS
- Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models
- (2018) David Heckmann et al. Nature Communications
- Noise propagation in an integrated model of bacterial gene expression and growth
- (2018) Istvan T. Kleijn et al. PLoS Computational Biology
- Mathematical modelling of microbes: metabolism, gene expression and growth
- (2017) Hidde de Jong et al. Journal of the Royal Society Interface
- Optimality and sub-optimality in a bacterial growth law
- (2017) Benjamin D. Towbin et al. Nature Communications
- Principles of cellular resource allocation revealed by condition-dependent proteome profiling
- (2017) Eyal Metzl-Raz et al. eLife
- Metabolic Models of Protein Allocation Call for the Kinetome
- (2017) Avlant Nilsson et al. Cell Systems
- Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitrokcatmeasurements
- (2016) Dan Davidi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Systems-level analysis of mechanisms regulating yeast metabolic flux
- (2016) S. R. Hackett et al. SCIENCE
- A genome-scale Escherichia coli kinetic metabolic model k-ecoli457 satisfying flux data for multiple mutant strains
- (2016) Ali Khodayari et al. Nature Communications
- The Cost of Protein Production
- (2016) Moshe Kafri et al. Cell Reports
- The Protein Cost of Metabolic Fluxes: Prediction from Enzymatic Rate Laws and Cost Minimization
- (2016) Elad Noor et al. PLoS Computational Biology
- Quantification and Classification of E. coli Proteome Utilization and Unused Protein Costs across Environments
- (2016) Edward J. O’Brien et al. PLoS Computational Biology
- Dynamical Allocation of Cellular Resources as an Optimal Control Problem: Novel Insights into Microbial Growth Strategies
- (2016) Nils Giordano et al. PLoS Computational Biology
- Constrained Allocation Flux Balance Analysis
- (2016) Matteo Mori et al. PLoS Computational Biology
- Reduction of translating ribosomes enables Escherichia coli to maintain elongation rates during slow growth
- (2016) Xiongfeng Dai et al. Nature Microbiology
- Quantitative prediction of genome-wide resource allocation in bacteria
- (2015) Anne Goelzer et al. METABOLIC ENGINEERING
- Quantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria
- (2015) S. Hui et al. Molecular Systems Biology
- Inflating bacterial cells by increased protein synthesis
- (2015) M. Basan et al. Molecular Systems Biology
- Overflow metabolism in Escherichia coli results from efficient proteome allocation
- (2015) Markus Basan et al. NATURE
- The quantitative and condition-dependent Escherichia coli proteome
- (2015) Alexander Schmidt et al. NATURE BIOTECHNOLOGY
- Mechanistic links between cellular trade-offs, gene expression, and growth
- (2015) Andrea Y. Weiße et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Metabolic states with maximal specific rate carry flux through an elementary flux mode
- (2014) Meike T. Wortel et al. FEBS Journal
- BRENDA in 2015: exciting developments in its 25th year of existence
- (2014) Antje Chang et al. NUCLEIC ACIDS RESEARCH
- Bacterial growth laws reflect the evolutionary importance of energy efficiency
- (2014) Arijit Maitra et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Enzyme allocation problems in kinetic metabolic networks: Optimal solutions are elementary flux modes
- (2013) Stefan Müller et al. JOURNAL OF THEORETICAL BIOLOGY
- Genome-scale models of metabolism and gene expression extend and refine growth phenotype prediction
- (2013) E. J. O{middle dot}Brien et al. Molecular Systems Biology
- Molecular crowding limits translation and cell growth
- (2013) S. Klumpp et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
- (2012) Nathan E. Lewis et al. NATURE REVIEWS MICROBIOLOGY
- Economics of membrane occupancy and respiro-fermentation
- (2011) K. Zhuang et al. Molecular Systems Biology
- Parameter Balancing in Kinetic Models of Cell Metabolism†
- (2010) Timo Lubitz et al. JOURNAL OF PHYSICAL CHEMISTRY B
- Interdependence of Cell Growth and Gene Expression: Origins and Consequences
- (2010) M. Scott et al. SCIENCE
- Flux balance analysis accounting for metabolite dilution
- (2010) Tomer Benyamini et al. GENOME BIOLOGY
- Computing the shortest elementary flux modes in genome-scale metabolic networks
- (2009) Luis F. de Figueiredo et al. BIOINFORMATICS
- Growth Rate-Dependent Global Effects on Gene Expression in Bacteria
- (2009) Stefan Klumpp et al. CELL
- Shifts in growth strategies reflect tradeoffs in cellular economics
- (2009) Douwe Molenaar et al. Molecular Systems Biology
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now