An optimization framework for identifying reaction activation/inhibition or elimination candidates for overproduction in microbial systems.
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OptForce: an optimization procedure for identifying all genetic manipulations leading to targeted overproductionsApplications of Genome-Scale Metabolic Models in Biotechnology and Systems MedicineImportance of understanding the main metabolic regulation in response to the specific pathway mutation for metabolic engineering of Escherichia coliRecent Developments in Systems Biology and Metabolic Engineering of Plant-Microbe Interactions.Computational Methods for Modification of Metabolic NetworksIn Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell FactoriesA genome-scale metabolic reconstruction of Mycoplasma genitalium, iPS189Computational design of auxotrophy-dependent microbial biosensors for combinatorial metabolic engineering experimentsIdentification of functional differences in metabolic networks using comparative genomics and constraint-based modelsRedirector: designing cell factories by reconstructing the metabolic objectiveReacKnock: identifying reaction deletion strategies for microbial strain optimization based on genome-scale metabolic networkk-OptForce: integrating kinetics with flux balance analysis for strain designCONSTRICTOR: constraint modification provides insight into design of biochemical networksMetabolic engineering of a novel muconic acid biosynthesis pathway via 4-hydroxybenzoic acid in Escherichia coliComparative multi-goal tradeoffs in systems engineering of microbial metabolismWhole-genome metabolic network reconstruction and constraint-based modelingFlux balance analysis of primary metabolism in the diatom Phaeodactylum tricornutum.Genome-scale models of bacterial metabolism: reconstruction and applications.Flux-sum analysis: a metabolite-centric approach for understanding the metabolic network.Flux Design: In silico design of cell factories based on correlation of pathway fluxes to desired properties.Utilizing elementary mode analysis, pathway thermodynamics, and a genetic algorithm for metabolic flux determination and optimal metabolic network designOptORF: Optimal metabolic and regulatory perturbations for metabolic engineering of microbial strains.Antimalarial drug targets in Plasmodium falciparum predicted by stage-specific metabolic network analysisComputationally efficient flux variability analysis.Improved network performance via antagonism: From synthetic rescues to multi-drug combinations.Hybrid metabolic flux analysis: combining stoichiometric and statistical constraints to model the formation of complex recombinant productsIn silico identification of gene amplification targets for improvement of lycopene production.Expanding a dynamic flux balance model of yeast fermentation to genome-scaleAnalysis of complex metabolic behavior through pathway decomposition.Large-scale bi-level strain design approaches and mixed-integer programming solution techniques.MetRxn: a knowledgebase of metabolites and reactions spanning metabolic models and databases.OptCom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communitiesInferring carbon sources from gene expression profiles using metabolic flux models.Designing optimal cell factories: integer programming couples elementary mode analysis with regulationFlux variability scanning based on enforced objective flux for identifying gene amplification targets.MC3: a steady-state model and constraint consistency checker for biochemical networks.Dynamic strain scanning optimization: an efficient strain design strategy for balanced yield, titer, and productivity. DySScO strategy for strain design.Probabilistic strain optimization under constraint uncertaintyPredicting synthetic rescues in metabolic networksThe growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli.
P2860
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P2860
An optimization framework for identifying reaction activation/inhibition or elimination candidates for overproduction in microbial systems.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
An optimization framework for ...... oduction in microbial systems.
@en
An optimization framework for ...... oduction in microbial systems.
@nl
type
label
An optimization framework for ...... oduction in microbial systems.
@en
An optimization framework for ...... oduction in microbial systems.
@nl
prefLabel
An optimization framework for ...... oduction in microbial systems.
@en
An optimization framework for ...... oduction in microbial systems.
@nl
P1476
An optimization framework for ...... oduction in microbial systems.
@en
P2093
Priti Pharkya
P356
10.1016/J.YMBEN.2005.08.003
P577
2005-09-30T00:00:00Z