scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bmcsb/Muller-LinowWH07 |
P6179 | Dimensions Publication ID | 1005927047 |
P356 | DOI | 10.1186/1752-0509-1-44 |
P932 | PMC publication ID | 2077335 |
P698 | PubMed publication ID | 17892579 |
P5875 | ResearchGate publication ID | 5951267 |
P50 | author | Marc-Thorsten Hütt | Q66360925 |
Wolfram Weckwerth | Q61829251 | ||
P2093 | author name string | Mark Müller-Linow | |
P2860 | cites work | Scale-rich metabolic networks | Q81764933 |
Metabolic flux balance analysis and the in silico analysis of Escherichia coli K-12 gene deletions | Q21284379 | ||
KEGG: Kyoto Encyclopedia of Genes and Genomes | Q24548371 | ||
The activity reaction core and plasticity of metabolic networks | Q24811413 | ||
Network biology: understanding the cell's functional organization | Q27861027 | ||
A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks | Q28145745 | ||
The control of flux | Q28237216 | ||
Global organization of metabolic fluxes in the bacterium Escherichia coli | Q28247038 | ||
Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems | Q28346109 | ||
The large-scale organization of metabolic networks | Q29547498 | ||
Hierarchical organization of modularity in metabolic networks | Q29618451 | ||
Superfamilies of evolved and designed networks. | Q30339061 | ||
Functional cartography of complex metabolic networks | Q30481006 | ||
Reconstruction of metabolic networks from genome data and analysis of their global structure for various organisms | Q30763008 | ||
Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. | Q33543834 | ||
Metabolic pathway analysis: basic concepts and scientific applications in the post-genomic era. | Q33651317 | ||
Metabolomics in systems biology | Q33972646 | ||
Determination of causal connectivities of species in reaction networks | Q34026782 | ||
Differential metabolic networks unravel the effects of silent plant phenotypes | Q34338074 | ||
Metabolomics and systems biology: making sense of the soup | Q34548620 | ||
Cross-species analysis of biological networks by Bayesian alignment | Q34984226 | ||
The metabolic world of Escherichia coli is not small | Q36159873 | ||
Metabolomics: from pattern recognition to biological interpretation | Q36300609 | ||
Local graph alignment and motif search in biological networks | Q37570636 | ||
Metabolic regulation and mathematical models | Q39717340 | ||
Reaction routes in biochemical reaction systems: algebraic properties, validated calculation procedure and example from nucleotide metabolism | Q44104377 | ||
Principles of transcriptional control in the metabolic network of Saccharomyces cerevisiae | Q47359603 | ||
Constructing an enzyme-centric view of metabolism. | Q47794479 | ||
Observing and interpreting correlations in metabolomic networks | Q48594438 | ||
Metabolomic networks in plants: Transitions from pattern recognition to biological interpretation | Q51959587 | ||
Metabolic control theory: a structural approach | Q52548981 | ||
Metabolic control and its analysis. Additional relationships between elasticities and control coefficients | Q52670122 | ||
The small world inside large metabolic networks. | Q55016270 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P304 | page(s) | 44 | |
P577 | publication date | 2007-09-24 | |
P1433 | published in | BMC Systems Biology | Q4835949 |
P1476 | title | Consistency analysis of metabolic correlation networks | |
P478 | volume | 1 |
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