| scholarly article | Q13442814 |
| P819 | ADS bibcode | 2015PhRvE..92a2809B |
| P818 | arXiv ID | 1408.4555 |
| P356 | DOI | 10.1103/PHYSREVE.92.012809 |
| P724 | Internet Archive ID | arxiv-1408.4555 |
| P698 | PubMed publication ID | 26274227 |
| P50 | author | Matteo Marsili | Q15265096 |
| Areejit Samal | Q50974858 | ||
| P2093 | author name string | Marco Bardoscia | |
| P2860 | cites work | An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) | Q21194867 |
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| Metabolic network structure determines key aspects of functionality and regulation | Q28214885 | ||
| What is flux balance analysis? | Q28275348 | ||
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| Randomizing Genome-Scale Metabolic Networks | Q28479041 | ||
| Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth | Q29397612 | ||
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| Hierarchical organization of modularity in metabolic networks | Q29618451 | ||
| In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data | Q29618471 | ||
| The regulatory network of E. coli metabolism as a Boolean dynamical system exhibits both homeostasis and flexibility of response | Q33321940 | ||
| Genotype networks in metabolic reaction spaces | Q33543376 | ||
| Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models | Q33642720 | ||
| Advances in flux balance analysis | Q33973453 | ||
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| The global transcriptional regulatory network for metabolism in Escherichia coli exhibits few dominant functional states. | Q34244913 | ||
| Bow ties, metabolism and disease | Q34343513 | ||
| Low degree metabolites explain essential reactions and enhance modularity in biological networks. | Q34534218 | ||
| The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli | Q34785166 | ||
| A critical view of metabolic network adaptations | Q37210415 | ||
| LIGAND: database of chemical compounds and reactions in biological pathways | Q39524233 | ||
| Genome-scale in silico models of E. coli have multiple equivalent phenotypic states: assessment of correlated reaction subsets that comprise network states. | Q39968205 | ||
| Flux coupling analysis of genome-scale metabolic network reconstructions. | Q40497938 | ||
| Shifts in growth strategies reflect tradeoffs in cellular economics | Q42242972 | ||
| A latent capacity for evolutionary innovation through exaptation in metabolic systems | Q44785253 | ||
| Robustness analysis of the Escherichia coli metabolic network | Q46731594 | ||
| The principle of flux minimization and its application to estimate stationary fluxes in metabolic networks | Q51995141 | ||
| The small world inside large metabolic networks. | Q55016270 | ||
| Is maximization of molar yield in metabolic networks favoured by evolution? | Q57320470 | ||
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | metabolic network | Q2263094 |
| P304 | page(s) | 012809 | |
| P577 | publication date | 2015-07-14 | |
| P1433 | published in | Physical Review E | Q2128181 |
| P1476 | title | Phenotypic constraints promote latent versatility and carbon efficiency in metabolic networks | |
| P478 | volume | 92 |
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