Using the topology of metabolic networks to predict viability of mutant strains
about
Evolutionary plasticity and innovations in complex metabolic reaction networksDecoupling Environment-Dependent and Independent Genetic Robustness across Bacterial SpeciesOn deducing causality in metabolic networks.How to identify essential genes from molecular networks?Elementary signaling modes predict the essentiality of signal transduction network components.An exact arithmetic toolbox for a consistent and reproducible structural analysis of metabolic network modelsMapping the inner workings of the microbiome: genomic- and metagenomic-based study of metabolism and metabolic interactions in the human microbiome.The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli.Computing smallest intervention strategies for multiple metabolic networks in a boolean model.Essential plasticity and redundancy of metabolism unveiled by synthetic lethality analysisA curated C. difficile strain 630 metabolic network: prediction of essential targets and inhibitors.Integrated in silico Analyses of Regulatory and Metabolic Networks of Synechococcus sp. PCC 7002 Reveal Relationships between Gene Centrality and EssentialityCascading failure and robustness in metabolic networksModel-driven analysis of experimentally determined growth phenotypes for 465 yeast gene deletion mutants under 16 different conditions.Evolutionary constraint and adaptation in the metabolic network of Drosophila.Biofuel production improvement with genome-scale models: The role of cell composition.Computational systems biology and in silico modeling of the human microbiome.Metabolic flux analysis of Escherichia coli knockouts: lessons from the Keio collection and future outlook.Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies.A topological characterization of medium-dependent essential metabolic reactions.Flux balance impact degree: a new definition of impact degree to properly treat reversible reactions in metabolic networksSystems biology beyond degree, hubs and scale-free networks: the case for multiple metrics in complex networks.Genome-scale gene/reaction essentiality and synthetic lethality analysis.Identification of synthetic lethal pairs in biological systems through network information centrality.Metabolic plasticity in synthetic lethal mutants: Viability at higher cost.Metabolic Network Analysis Demystified
P2860
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P2860
Using the topology of metabolic networks to predict viability of mutant strains
description
2006 nî lūn-bûn
@nan
2006 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Using the topology of metabolic networks to predict viability of mutant strains
@ast
Using the topology of metabolic networks to predict viability of mutant strains
@en
Using the topology of metabolic networks to predict viability of mutant strains
@nl
type
label
Using the topology of metabolic networks to predict viability of mutant strains
@ast
Using the topology of metabolic networks to predict viability of mutant strains
@en
Using the topology of metabolic networks to predict viability of mutant strains
@nl
prefLabel
Using the topology of metabolic networks to predict viability of mutant strains
@ast
Using the topology of metabolic networks to predict viability of mutant strains
@en
Using the topology of metabolic networks to predict viability of mutant strains
@nl
P2860
P1433
P1476
Using the topology of metabolic networks to predict viability of mutant strains
@en
P2093
Leonid A Mirny
P2860
P304
P356
10.1529/BIOPHYSJ.105.080572
P407
P577
2006-09-15T00:00:00Z