scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bioinformatics/BerthoumieuxBJKC11 |
P356 | DOI | 10.1093/BIOINFORMATICS/BTR225 |
P724 | Internet Archive ID | pubmed-PMC3117355 |
P932 | PMC publication ID | 3117355 |
P698 | PubMed publication ID | 21685069 |
P5875 | ResearchGate publication ID | 51230545 |
P50 | author | Daniel Kahn | Q60449783 |
Matteo Brilli | Q30347686 | ||
P2093 | author name string | Hidde de Jong | |
Eugenio Cinquemani | |||
Sara Berthoumieux | |||
P2860 | cites work | Optimal re-design of primary metabolism in Escherichia coli using linlog kinetics. | Q51597233 |
Derivation, identification and validation of a computational model of a novel synthetic regulatory network in yeast. | Q51689540 | ||
Hybrid dynamic modeling of Escherichia coli central metabolic network combining Michaelis-Menten and approximate kinetic equations. | Q51714258 | ||
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Model reduction and a priori kinetic parameter identifiability analysis using metabolome time series for metabolic reaction networks with linlog kinetics. | Q51870870 | ||
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Bacterial adaptation through distributed sensing of metabolic fluxes | Q34102801 | ||
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Approximative kinetic formats used in metabolic network modeling | Q36186685 | ||
Systems biology: parameter estimation for biochemical models | Q37392314 | ||
Topology of the global regulatory network of carbon limitation in Escherichia coli | Q42519694 | ||
Bringing metabolic networks to life: convenience rate law and thermodynamic constraints | Q42983671 | ||
Challenges in lin-log modelling of glycolysis in Lactococcus lactis | Q45491713 | ||
A quantitative approach to catabolite repression in Escherichia coli | Q46786460 | ||
Translating biochemical network models between different kinetic formats | Q47232466 | ||
Effects of spatiotemporal variations on metabolic control: approximate analysis using (log)linear kinetic models. | Q48756825 | ||
P275 | copyright license | Creative Commons Attribution-NonCommercial 2.5 Generic | Q19113746 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 13 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | data set | Q1172284 |
metabolic network | Q2263094 | ||
P304 | page(s) | i186-95 | |
P577 | publication date | 2011-07-01 | |
P1433 | published in | Bioinformatics | Q4914910 |
P1476 | title | Identification of metabolic network models from incomplete high-throughput datasets | |
P478 | volume | 27 |
Q34118167 | Controversies in modern evolutionary biology: the imperative for error detection and quality control |
Q58089423 | Estimation methods for heterogeneous cell population models in systems biology |
Q26829854 | Identification of aberrant pathways and network activities from high-throughput data |
Q28530233 | Identifying the Unknowns by Aligning Fragmentation Trees |
Q37687449 | Mass spectrometry-based workflow for accurate quantification of Escherichia coli enzymes: how proteomics can play a key role in metabolic engineering |
Q56698274 | Necessary conditions for multistationarity in discrete dynamical systems |
Q51289578 | On the identifiability of metabolic network models. |
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