Estimating metabolic fluxes using a maximum network flexibility paradigm

Keyphrases

• Metabolic Flux 100%
• Network Flexibility 100%
• Flux Balance Analysis 100%
• Growth Rate 75%
• Flux Distribution 75%
• Metabolic Flexibility 75%
• Suboptimal Growth 50%
• Nave 25%
• Biologically Relevant 25%
• Capacity Constraints 25%
• Escherichia Coli 25%
• Microorganisms 25%
• Genome-scale 25%
• Computational Methods 25%
• ATP Production 25%
• Saccharomyces Cerevisiae 25%
• Feasible Solution 25%
• Omics Data 25%
• Most Probable 25%
• Changing Environmental Conditions 25%
• Optimal Growth 25%
• Flux Data 25%
• Uniform Sampling 25%
• High Adaptability 25%
• Reducing Subspace 25%
• Metabolic Network 25%
• Growth Productions 25%
• Nutrient Sources 25%
• Sampling Approach 25%
• Steady-state Flux 25%
• Central Metabolism 25%
• Large Gain 25%
• Constraint-based 25%
• Genome-scale Metabolic Network 25%
• Reaction Stoichiometry 25%
• Network State 25%
• Internal Network 25%
• Flux Constraint 25%
• Metabolic Modeling 25%
• Flux Measurement 25%
• Reaction Rate 25%
• Genome-scale Model 25%
• Environmental Conditions 25%

Biochemistry, Genetics and Molecular Biology

• Metabolic Network 100%
• Metabolic Flux 100%
• Solution and Solubility 50%
• Secretion (Process) 50%
• Steady State 50%
• Metabolic Pathway 50%
• Adenosine Triphosphate 50%
• Escherichia coli 50%
• Saccharomyces cerevisiae 50%
• Stoichiometry 50%
• Tamsulosin 50%