Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways.
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Software applications for flux balance analysisRecent Developments in Systems Biology and Metabolic Engineering of Plant-Microbe Interactions.Computational Methods for Modification of Metabolic NetworksAnalysis of genetic variation and potential applications in genome-scale metabolic modelingIn Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell FactoriesAlgaGEM--a genome-scale metabolic reconstruction of algae based on the Chlamydomonas reinhardtii genomeOptFlux: an open-source software platform for in silico metabolic engineeringComputational design of auxotrophy-dependent microbial biosensors for combinatorial metabolic engineering experimentsIdentification of functional differences in metabolic networks using comparative genomics and constraint-based modelsReacKnock: identifying reaction deletion strategies for microbial strain optimization based on genome-scale metabolic networkEnumeration of smallest intervention strategies in genome-scale metabolic networksk-OptForce: integrating kinetics with flux balance analysis for strain designMetabolic engineering of a novel muconic acid biosynthesis pathway via 4-hydroxybenzoic acid in Escherichia coliCyanobacterial biofuels: new insights and strain design strategies revealed by computational modelingIdentification of metabolic engineering targets through analysis of optimal and sub-optimal routesIMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic ModelsSynthetic and systems biology for microbial production of commodity chemicals.Engineering glucose metabolism of Escherichia coli under nitrogen starvation.Metagenomic systems biology of the human gut microbiome reveals topological shifts associated with obesity and inflammatory bowel disease.Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methodsPrediction of microbial growth rate versus biomass yield by a metabolic network with kinetic parametersThe virus as metabolic engineer.Chapter 12: Human microbiome analysisSteady-state metabolite concentrations reflect a balance between maximizing enzyme efficiency and minimizing total metabolite loadComputing smallest intervention strategies for multiple metabolic networks in a boolean model.Design of optimally constructed metabolic networks of minimal functionality.RobOKoD: microbial strain design for (over)production of target compounds.Flux-sum analysis identifies metabolite targets for strain improvementA systems biology approach to reconcile metabolic network models with application to Synechocystis sp. PCC 6803 for biofuel production.Optimal knockout strategies in genome-scale metabolic networks using particle swarm optimizationSynthetic pathway for production of five-carbon alcohols from isopentenyl diphosphateGenome-scale metabolic network guided engineering of Streptomyces tsukubaensis for FK506 production improvementApplications of genome-scale metabolic network model in metabolic engineering.Genome-scale modeling for metabolic engineering.FastPros: screening of reaction knockout strategies for metabolic engineering.Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling.Application of theoretical methods to increase succinate production in engineered strains.Constraint-based stoichiometric modelling from single organisms to microbial communities.In silico design of anaerobic growth-coupled product formation in Escherichia coli: experimental validation using a simple polyol, glycerol.Engineering biological systems using automated biofoundries.
P2860
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P2860
Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Predicting metabolic engineeri ...... unting for competing pathways.
@en
Predicting metabolic engineeri ...... unting for competing pathways.
@nl
type
label
Predicting metabolic engineeri ...... unting for competing pathways.
@en
Predicting metabolic engineeri ...... unting for competing pathways.
@nl
prefLabel
Predicting metabolic engineeri ...... unting for competing pathways.
@en
Predicting metabolic engineeri ...... unting for competing pathways.
@nl
P2860
P356
P1433
P1476
Predicting metabolic engineeri ...... unting for competing pathways.
@en
P2093
Naama Tepper
Tomer Shlomi
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP704
P407
P577
2009-12-23T00:00:00Z