OptORF: Optimal metabolic and regulatory perturbations for metabolic engineering of microbial strains.
about
Physiologically Shrinking the Solution Space of a Saccharomyces cerevisiae Genome-Scale Model Suggests the Role of the Metabolic Network in Shaping Gene Expression NoiseA review of metabolic and enzymatic engineering strategies for designing and optimizing performance of microbial cell factoriesDRUM: a new framework for metabolic modeling under non-balanced growth. Application to the carbon metabolism of unicellular microalgaeAlgal Cell Factories: Approaches, Applications, and PotentialsIn Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell FactoriesData-driven integration of genome-scale regulatory and metabolic network modelsDesign constraints on a synthetic metabolismIdentification of functional differences in metabolic networks using comparative genomics and constraint-based modelsRedirector: designing cell factories by reconstructing the metabolic objectiveEnumeration of smallest intervention strategies in genome-scale metabolic networksk-OptForce: integrating kinetics with flux balance analysis for strain designCyanobacterial biofuels: new insights and strain design strategies revealed by computational modelingTIGER: Toolbox for integrating genome-scale metabolic models, expression data, and transcriptional regulatory networksFunctional integration of a metabolic network model and expression data without arbitrary thresholding.An automated phenotype-driven approach (GeneForce) for refining metabolic and regulatory models.Improving the iMM904 S. cerevisiae metabolic model using essentiality and synthetic lethality dataHybrid metabolic flux analysis: combining stoichiometric and statistical constraints to model the formation of complex recombinant productsZea mays iRS1563: a comprehensive genome-scale metabolic reconstruction of maize metabolism.Large-scale bi-level strain design approaches and mixed-integer programming solution techniques.A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities.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 parametersFlux variability scanning based on enforced objective flux for identifying gene amplification targets.Reconstruction and comparison of the metabolic potential of cyanobacteria Cyanothece sp. ATCC 51142 and Synechocystis sp. PCC 6803Bridging the gap between gene expression and metabolic phenotype via kinetic modelsImproving fatty acid availability for bio-hydrocarbon production in Escherichia coli by metabolic engineering.Comparison and improvement of algorithms for computing minimal cut sets.Partial inhibition and bilevel optimization in flux balance analysis.Computing smallest intervention strategies for multiple metabolic networks in a boolean model.Microbial laboratory evolution in the era of genome-scale science.Probing the bioethanol production potential of Scheffersomyces (Pichia) stipitis using validated genome-scale model.A systems biology approach to reconcile metabolic network models with application to Synechocystis sp. PCC 6803 for biofuel production.Stoichiometric Representation of Gene-Protein-Reaction Associations Leverages Constraint-Based Analysis from Reaction to Gene-Level Phenotype PredictionGenome-scale metabolic network guided engineering of Streptomyces tsukubaensis for FK506 production improvementQuantitative assessment of thermodynamic constraints on the solution space of genome-scale metabolic models.A Causal Network Analysis of the Fatty Acid Metabolome in African-Americans Reveals a Critical Role for Palmitoleate and Margarate.Computational evaluation of cellular metabolic costs successfully predicts genes whose expression is deleterious.Systems biology of lactic acid bacteria: a critical review.Systems metabolic engineering of microorganisms for natural and non-natural chemicals.Genome-scale metabolic model in guiding metabolic engineering of microbial improvement.
P2860
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P2860
OptORF: Optimal metabolic and regulatory perturbations for metabolic engineering of microbial strains.
description
2010 nî lūn-bûn
@nan
2010 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի ապրիլին 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
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@ast
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@en
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@nl
type
label
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@ast
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@en
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@nl
prefLabel
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@ast
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@en
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@nl
P2860
P356
P1433
P1476
OptORF: Optimal metabolic and ...... ineering of microbial strains.
@en
P2860
P2888
P356
10.1186/1752-0509-4-53
P577
2010-04-28T00:00:00Z
P5875
P6179
1009803730