Incorporating metabolic flux ratios into constraint-based flux analysis by using artificial metabolites and converging ratio determinants
One of the well-established approaches for the quantitative characterization of large-scale
underdetermined metabolic network is constraint-based flux analysis, which quantifies …
underdetermined metabolic network is constraint-based flux analysis, which quantifies …
Model validation and selection in metabolic flux analysis and flux balance analysis
JAM Kaste, Y Shachar‐Hill - Biotechnology Progress, 2024 - Wiley Online Library
Abstract 13C‐Metabolic Flux Analysis (13C‐MFA) and Flux Balance Analysis (FBA) are
widely used to investigate the operation of biochemical networks in both biological and …
widely used to investigate the operation of biochemical networks in both biological and …
High-throughput metabolic flux analysis based on gas chromatography–mass spectrometry derived 13C constraints
13C-constrained flux balancing analysis based on gas chromatography–mass spectrometry
data is presented here as a simple and robust method for the estimation of intracellular …
data is presented here as a simple and robust method for the estimation of intracellular …
A guide to metabolic flux analysis in metabolic engineering: Methods, tools and applications
MR Antoniewicz - Metabolic engineering, 2021 - Elsevier
The field of metabolic engineering is primarily concerned with improving the biological
production of value-added chemicals, fuels and pharmaceuticals through the design …
production of value-added chemicals, fuels and pharmaceuticals through the design …
Hybrid metabolic flux analysis: combining stoichiometric and statistical constraints to model the formation of complex recombinant products
Background Stoichiometric models constitute the basic framework for fluxome quantification
in the realm of metabolic engineering. A recurrent bottleneck, however, is the establishment …
in the realm of metabolic engineering. A recurrent bottleneck, however, is the establishment …
Metabolic flux analysis at ultra short time scale: isotopically non-stationary 13C labeling experiments
K Nöh, K Grönke, B Luo, R Takors, M Oldiges… - Journal of …, 2007 - Elsevier
A novel approach to 13C metabolic flux analysis (MFA) is presented using cytosolic
metabolite pool sizes and their 13C labeling data from an isotopically non-stationary 13C …
metabolite pool sizes and their 13C labeling data from an isotopically non-stationary 13C …
COMPLETE-MFA: complementary parallel labeling experiments technique for metabolic flux analysis
RW Leighty, MR Antoniewicz - Metabolic engineering, 2013 - Elsevier
We have developed a novel approach for measuring highly accurate and precise metabolic
fluxes in living cells, termed COMPLETE-MFA, short for complementary parallel labeling …
fluxes in living cells, termed COMPLETE-MFA, short for complementary parallel labeling …
Hybrid optimization for 13C metabolic flux analysis using systems parametrized by compactification
TH Yang, O Frick, E Heinzle - BMC Systems Biology, 2008 - Springer
Background The importance and power of isotope-based metabolic flux analysis and its
contribution to understanding the metabolic network is increasingly recognized. Its …
contribution to understanding the metabolic network is increasingly recognized. Its …
Flux analysis of underdetermined metabolic networks: the quest for the missing constraints
HPJ Bonarius, G Schmid, J Tramper - Trends in Biotechnology, 1997 - cell.com
Traditionally, the intracellular fluxes of complex metabolic networks were quantified by
isotopic-tracer experiments, but, owing to practical limitations,'metabolic-flux balancing'is …
isotopic-tracer experiments, but, owing to practical limitations,'metabolic-flux balancing'is …
Improving the accuracy of flux balance analysis through the implementation of carbon availability constraints for intracellular reactions
M Lularevic, AJ Racher, C Jaques… - Biotechnology and …, 2019 - Wiley Online Library
Constraint‐based modeling methods, such as Flux Balance Analysis (FBA), have been
extensively used to decipher complex, information rich‐omics datasets to elicit system‐wide …
extensively used to decipher complex, information rich‐omics datasets to elicit system‐wide …