Predicting biological system objectives de novo from internal state measurements.
about
A protocol for generating a high-quality genome-scale metabolic reconstructionSpontaneous reaction silencing in metabolic optimizationApplications of genome-scale metabolic reconstructions.Whole-genome metabolic network reconstruction and constraint-based modelingProteomic and network analysis characterize stage-specific metabolism in Trypanosoma cruzi.Dynamic analysis of integrated signaling, metabolic, and regulatory networks.A principal components method constrained by elementary flux modes: analysis of flux data sets.GrowMatch: an automated method for reconciling in silico/in vivo growth predictionsLarge-scale bi-level strain design approaches and mixed-integer programming solution techniques.Individualized therapy of HHT driven by network analysis of metabolomic profilesOptCom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communitiesQuantitative analysis of cellular metabolic dissipative, self-organized structuresConstraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methodsImproving metabolic flux predictions using absolute gene expression data.Predictive potential of flux balance analysis of Saccharomyces cerevisiae using as optimization function combinations of cell compartmental objectives.An objective function exploiting suboptimal solutions in metabolic networksComparative determination of biomass composition in differentially active metabolic States.Transient dynamics of competitive exclusion in microbial communities.Calibration and analysis of genome-based models for microbial ecologyCell scale host-pathogen modeling: another branch in the evolution of constraint-based methods.Gap detection for genome-scale constraint-based models.Clostridium butyricum maximizes growth while minimizing enzyme usage and ATP production: metabolic flux distribution of a strain cultured in glycerolWhat do cells actually want?Mapping the landscape of metabolic goals of a cell.The biomass objective function.Genome-scale metabolic networks.Comparison and analysis of objective functions in flux balance analysis.Fluxes through plant metabolic networks: measurements, predictions, insights and challenges.Promise and reality in the expanding field of network interaction analysis: metabolic networks.Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models.Experimental evidence suggests the existence of evolutionary conserved global operation principles governing microbial metabolism.Flux balance analysis of biological systems: applications and challenges.Quantitative modeling of triacylglycerol homeostasis in yeast--metabolic requirement for lipolysis to promote membrane lipid synthesis and cellular growth.Predicting dynamic metabolic demands in the photosynthetic eukaryote Chlorella vulgaris.A mathematical framework for yield (versus rate) optimization in constraint-based modeling and applications in metabolic engineering.An introduction to the maximum entropy approach and its application to inference problems in biology.
P2860
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P2860
Predicting biological system objectives de novo from internal state measurements.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Predicting biological system objectives de novo from internal state measurements.
@ast
Predicting biological system objectives de novo from internal state measurements.
@en
type
label
Predicting biological system objectives de novo from internal state measurements.
@ast
Predicting biological system objectives de novo from internal state measurements.
@en
prefLabel
Predicting biological system objectives de novo from internal state measurements.
@ast
Predicting biological system objectives de novo from internal state measurements.
@en
P2860
P50
P356
P1433
P1476
Predicting biological system objectives de novo from internal state measurements.
@en
P2093
Anthony P Burgard
P2860
P2888
P356
10.1186/1471-2105-9-43
P577
2008-01-24T00:00:00Z
P5875
P6179
1020467138