In silico identification of gene amplification targets for improvement of lycopene production.
about
Rational improvement of the engineered isobutanol-producing Bacillus subtilis by elementary mode analysisApplications of Genome-Scale Metabolic Models in Biotechnology and Systems MedicineSynthetic biology and metabolic engineering for marine carotenoids: new opportunities and future prospectsIn Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell FactoriesAlgaGEM--a genome-scale metabolic reconstruction of algae based on the Chlamydomonas reinhardtii genomek-OptForce: integrating kinetics with flux balance analysis for strain designDesigning intracellular metabolism for production of target compounds by introducing a heterologous metabolic reaction based on a Synechosystis sp. 6803 genome-scale modelMEP pathway-mediated isopentenol production in metabolically engineered Escherichia coliMEMOSys 2.0: an update of the bioinformatics database for genome-scale models and genomic data.Time-Resolved Transcriptomics and Constraint-Based Modeling Identify System-Level Metabolic Features and Overexpression Targets to Increase Spiramycin Production in Streptomyces ambofaciensModel based engineering of Pichia pastoris central metabolism enhances recombinant protein productionSynthetic and systems biology for microbial production of commodity chemicals.Combination of Entner-Doudoroff pathway with MEP increases isoprene production in engineered Escherichia coli.Toward biosynthetic design and implementation of Escherichia coli-derived paclitaxel and other heterologous polyisoprene compounds.Flux variability scanning based on enforced objective flux for identifying gene amplification targets.Chromosomal evolution of Escherichia coli for the efficient production of lycopeneComparison and improvement of algorithms for computing minimal cut sets.Production of lycopene by metabolically-engineered Escherichia coli.RobOKoD: microbial strain design for (over)production of target compounds.Rapid prototyping of microbial cell factories via genome-scale engineering.Reconstruction and in silico analysis of an Actinoplanes sp. SE50/110 genome-scale metabolic model for acarbose production.Flux-sum analysis identifies metabolite targets for strain improvementModification of targets related to the Entner-Doudoroff/pentose phosphate pathway route for methyl-D-erythritol 4-phosphate-dependent carotenoid biosynthesis in Escherichia coli.Systems analysis of methylerythritol-phosphate pathway flux in E. coli: insights into the role of oxidative stress and the validity of lycopene as an isoprenoid reporter metabolite.Photosynthetic conversion of CO2 to farnesyl diphosphate-derived phytochemicals (amorpha-4,11-diene and squalene) by engineered cyanobacteria.Systems metabolic engineering of microorganisms for natural and non-natural chemicals.Genome-scale metabolic model in guiding metabolic engineering of microbial improvement.Microbial production of isoprenoids enabled by synthetic biology.Microbial biosynthesis of medicinally important plant secondary metabolites.Metabolic engineering of strains: from industrial-scale to lab-scale chemical production.Applications of genome-scale metabolic network model in metabolic engineering.Critical assessment of genome-scale metabolic networks: the need for a unified standard.Optimizing eukaryotic cell hosts for protein production through systems biotechnology and genome-scale modeling.Metabolic modeling to identify engineering targets for Komagataella phaffii: The effect of biomass composition on gene target identification.Progress in terpene synthesis strategies through engineering of Saccharomyces cerevisiae.Genome-scale metabolic models as platforms for strain design and biological discovery.Strategies of isoprenoids production in engineered bacteria.Logical transformation of genome-scale metabolic models for gene level applications and analysis.BeReTa: a systematic method for identifying target transcriptional regulators to enhance microbial production of chemicals.A computational analysis of stoichiometric constraints and trade-offs in cyanobacterial biofuel production.
P2860
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P2860
In silico identification of gene amplification targets for improvement of lycopene production.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
In silico identification of ge ...... vement of lycopene production.
@ast
In silico identification of ge ...... vement of lycopene production.
@en
type
label
In silico identification of ge ...... vement of lycopene production.
@ast
In silico identification of ge ...... vement of lycopene production.
@en
prefLabel
In silico identification of ge ...... vement of lycopene production.
@ast
In silico identification of ge ...... vement of lycopene production.
@en
P2860
P356
P1476
In silico identification of ge ...... vement of lycopene production.
@en
P2093
Hyung Seok Choi
Tae Yong Kim
P2860
P304
P356
10.1128/AEM.00115-10
P407
P577
2010-03-26T00:00:00Z