Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
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Masquerading microbial pathogens: capsular polysaccharides mimic host-tissue moleculesFlux imbalance analysis and the sensitivity of cellular growth to changes in metabolite poolsTranshydrogenase promotes the robustness and evolvability of E. coli deficient in NADPH productionImproved vanillin production in baker's yeast through in silico design.A study in molecular contingency: glutamine phosphoribosylpyrophosphate amidotransferase is a promiscuous and evolvable phosphoribosylanthranilate isomerase.Genome-scale models of bacterial metabolism: reconstruction and applications.Flux-sum analysis: a metabolite-centric approach for understanding the metabolic network.Two-stage flux balance analysis of metabolic networks for drug target identification.Genome-scale metabolic reconstruction and in silico analysis of methylotrophic yeast Pichia pastoris for strain improvementA computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities.Identifying neighborhoods of coordinated gene expression and metabolite profiles.Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methodsUnderstanding regulation of metabolism through feasibility analysis.The genome-scale metabolic network analysis of Zymomonas mobilis ZM4 explains physiological features and suggests ethanol and succinic acid production strategiesCharacterizing criticality of proteins by systems dynamics: Escherichia coli central carbon metabolism as a working exampleImpact of stoichiometry representation on simulation of genotype-phenotype relationships in metabolic networksIntegrative genome-scale metabolic analysis of Vibrio vulnificus for drug targeting and discovery.Finding novel pharmaceuticals in the systems biology era using multiple effective drug targets, phenotypic screening and knowledge of transporters: where drug discovery went wrong and how to fix it.A metabolite-centric view on flux distributions in genome-scale metabolic models.The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli.Accomplishments in genome-scale in silico modeling for industrial and medical biotechnologyFlux-sum analysis identifies metabolite targets for strain improvementModeling cancer metabolism on a genome scale.Essential Genes Embody Increased Mutational Robustness to Compensate for the Lack of Backup Genetic Redundancy.Systems biology as an integrated platform for bioinformatics, systems synthetic biology, and systems metabolic engineering.Genome-scale metabolic model in guiding metabolic engineering of microbial improvement.Metabolic reconstruction and flux analysis of industrial Pichia yeasts.redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models.Advances and perspectives in computational prediction of microbial gene essentiality.Systems biology analysis of hepatitis C virus infection reveals the role of copy number increases in regions of chromosome 1q in hepatocellular carcinoma metabolism.Reconstruction of a Genome-scale Metabolic Network of Komagataeibacter nataicola RZS01 for Cellulose Production.A network property necessary for concentration robustness.Genome-scale gene/reaction essentiality and synthetic lethality analysis.Combining graph and flux-based structures to decipher phenotypic essential metabolites within metabolic networks.A model-driven quantitative metabolomics analysis of aerobic and anaerobic metabolism in E. coli K-12 MG1655 that is biochemically and thermodynamically consistent.Biological function through network topology: a survey of the human diseasome.Functional interrogation of Plasmodium genus metabolism identifies species- and stage-specific differences in nutrient essentiality and drug targeting.Beyond topology: coevolution of structure and flux in metabolic networks.Network Analyses in Plant Pathogens.Cofactor modification analysis: a computational framework to identify cofactor specificity engineering targets for strain improvement.
P2860
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P2860
Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh
2007年學術文章
@zh-hant
name
Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
@ast
Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
@en
type
label
Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
@ast
Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
@en
prefLabel
Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
@ast
Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
@en
P2093
P2860
P50
P356
P1476
Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
@en
P2093
Hawoong Jeong
Kwang Ho Lee
Sunwon Park
Tae Yong Kim
P2860
P304
13638-13642
P356
10.1073/PNAS.0703262104
P407
P577
2007-08-13T00:00:00Z