scholarly article | Q13442814 |
P356 | DOI | 10.1016/J.YMBEN.2011.02.005 |
P953 | full work available at URL | https://api.elsevier.com/content/article/PII:S1096717611000176?httpAccept=text/plain |
https://api.elsevier.com/content/article/PII:S1096717611000176?httpAccept=text/xml | ||
P698 | PubMed publication ID | 21354323 |
P5875 | ResearchGate publication ID | 50214096 |
P2093 | author name string | Cor Ras | |
Walter M. van Gulik | |||
Angela ten Pierick | |||
André B. Canelas | |||
Joseph J. Heijnen | |||
P2860 | cites work | Universally sloppy parameter sensitivities in systems biology models | Q21145658 |
Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS | Q24680943 | ||
Relationship between thermodynamic driving force and one-way fluxes in reversible processes | Q28469105 | ||
Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome data | Q28766251 | ||
Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli | Q29615316 | ||
A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kinetics | Q31087514 | ||
Multiplexed absolute quantification in proteomics using artificial QCAT proteins of concatenated signature peptides | Q33221531 | ||
Including metabolite concentrations into flux balance analysis: thermodynamic realizability as a constraint on flux distributions in metabolic networks | Q33286434 | ||
Metabolome dynamic responses of Saccharomyces cerevisiae to simultaneous rapid perturbations in external electron acceptor and electron donor | Q51063408 | ||
In vivo kinetics with rapid perturbation experiments in Saccharomyces cerevisiae using a second-generation BioScope | Q51224857 | ||
Thermodynamic constraints for biochemical networks | Q51676908 | ||
Hybrid dynamic modeling of Escherichia coli central metabolic network combining Michaelis-Menten and approximate kinetic equations | Q51714258 | ||
Model reduction and a priori kinetic parameter identifiability analysis using metabolome time series for metabolic reaction networks with linlog kinetics | Q51870870 | ||
Quantitative studies of enzyme-substrate compartmentation, functional coupling and metabolic channelling in muscle cells. | Q52235772 | ||
In vivo analysis of metabolic dynamics in Saccharomyces cerevisiae: II. Mathematical model | Q52257228 | ||
A model of the pentose phosphate pathway in rat liver cells. | Q52352976 | ||
Separation and quantitation of water soluble cellular metabolites by hydrophilic interaction chromatography-tandem mass spectrometry. | Q54463861 | ||
Stoichiometry and compartmentation of NADH metabolism inSaccharomyces cerevisiae | Q56267572 | ||
The kinetics of enzyme-catalyzed reactions with two or more substrates or products | Q56610698 | ||
Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry | Q57232711 | ||
How reliable are thermodynamic feasibility statements of biochemical pathways? | Q58325224 | ||
Trehalose-6-phosphate synthase/phosphatase complex from bakers’ yeast: purification of a proteolytically activated form | Q67915303 | ||
Characterization of trehalose-6-phosphate synthase and trehalose-6-phosphate phosphatase of Saccharomyces cerevisiae | Q69353099 | ||
Different signals control the activation of glycolysis in the yeast Saccharomyces cerevisiae | Q72916805 | ||
Regulation of fermentative capacity and levels of glycolytic enzymes in chemostat cultures of Saccharomyces cerevisiae | Q73914835 | ||
Improved rapid sampling for in vivo kinetics of intracellular metabolites in Saccharomyces cerevisiae | Q74826050 | ||
Glucose uptake kinetics and transcription of HXT genes in chemostat cultures of Saccharomyces cerevisiae | Q77772122 | ||
Group contributions for estimating standard gibbs energies of formation of biochemical compounds in aqueous solution | Q81564298 | ||
In vivo analysis of metabolic dynamics in Saccharomyces cerevisiae : I. Experimental observations | Q81660481 | ||
Leakage-free rapid quenching technique for yeast metabolomics | Q114870860 | ||
Analysis of glycolytic intermediates in Saccharomyces cerevisiae using anion exchange chromatography and electrospray ionization with tandem mass spectrometric detection | Q114871781 | ||
Data-based identifiability analysis of non-linear dynamical models | Q33292131 | ||
Quantitative assignment of reaction directionality in constraint-based models of metabolism: application to Escherichia coli | Q33574191 | ||
Metabolic engineering: techniques for analysis of targets for genetic manipulations | Q33587052 | ||
Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics | Q33674206 | ||
Energy balance for analysis of complex metabolic networks | Q34178210 | ||
Thermodynamics of enzyme-catalyzed reactions--a database for quantitative biochemistry | Q34321033 | ||
Fluxomics: mass spectrometry versus quantitative imaging | Q34353897 | ||
How can biochemical reactions within cells differ from those in test tubes? | Q34545385 | ||
The state of magnesium in cells as estimated from the adenylate kinase equilibrium | Q34655600 | ||
Virtual quantification of metabolites by capillary electrophoresis-electrospray ionization-mass spectrometry: predicting ionization efficiency without chemical standards | Q34960275 | ||
Metabolic networks in motion: 13C-based flux analysis | Q35194034 | ||
Approximative kinetic formats used in metabolic network modeling | Q36186685 | ||
Thermodynamics of microbial growth and metabolism: an analysis of the current situation | Q36268582 | ||
Group contribution method for thermodynamic analysis of complex metabolic networks | Q36783787 | ||
Metabolic flux analysis in eukaryotes | Q37694051 | ||
Trehalose-6-phosphate, a new regulator of yeast glycolysis that inhibits hexokinases. | Q38316854 | ||
When transcriptome meets metabolome: fast cellular responses of yeast to sudden relief of glucose limitation. | Q39346136 | ||
Metabolic control analysis of biochemical pathways based on a thermokinetic description of reaction rates | Q41847582 | ||
Dynamics of glycolytic regulation during adaptation of Saccharomyces cerevisiae to fermentative metabolism | Q41893946 | ||
Formulating genome-scale kinetic models in the post-genome era. | Q42030401 | ||
Genome-scale thermodynamic analysis of Escherichia coli metabolism | Q42155867 | ||
The thermodynamic meaning of metabolic exchange fluxes | Q42406509 | ||
Ultrahigh performance liquid chromatography-tandem mass spectrometry method for fast and robust quantification of anionic and aromatic metabolites | Q43078354 | ||
Quantitative evaluation of intracellular metabolite extraction techniques for yeast metabolomics | Q43298868 | ||
A comprehensive method for the quantification of the non-oxidative pentose phosphate pathway intermediates in Saccharomyces cerevisiae by GC-IDMS. | Q43300874 | ||
From fluxes and isotope labeling patterns towards in silico cells | Q43421305 | ||
Signal transduction dynamics of the protein kinase-A/phosphofructokinase-2 system in Saccharomyces cerevisiae | Q43566756 | ||
Triosephosphate isomerase catalysis is diffusion controlled. Appendix: Analysis of triose phosphate equilibria in aqueous solution by 31P NMR. | Q43918535 | ||
Development and application of a differential method for reliable metabolome analysis in Escherichia coli. | Q44027136 | ||
An interlaboratory comparison of physiological and genetic properties of four Saccharomyces cerevisiae strains | Q44436758 | ||
Role of transcriptional regulation in controlling fluxes in central carbon metabolism of Saccharomyces cerevisiae. A chemostat culture study. | Q44664104 | ||
MIRACLE: mass isotopomer ratio analysis of U-13C-labeled extracts. A new method for accurate quantification of changes in concentrations of intracellular metabolites | Q44766134 | ||
Analysis of in vivo kinetics of glycolysis in aerobic Saccharomyces cerevisiae by application of glucose and ethanol pulses | Q45078833 | ||
Quantitative analysis of the microbial metabolome by isotope dilution mass spectrometry using uniformly 13C-labeled cell extracts as internal standards | Q45203084 | ||
Changes in the metabolome of Saccharomyces cerevisiae associated with evolution in aerobic glucose-limited chemostats | Q45251243 | ||
Simultaneous quantification of free nucleotides in complex biological samples using ion pair reversed phase liquid chromatography isotope dilution tandem mass spectrometry | Q46105157 | ||
Kinetic hybrid models composed of mechanistic and simplified enzymatic rate laws--a promising method for speeding up the kinetic modelling of complex metabolic networks | Q46167096 | ||
Prolonged selection in aerobic, glucose-limited chemostat cultures of Saccharomyces cerevisiae causes a partial loss of glycolytic capacity | Q46471506 | ||
Quantitative estimation of channeling from early glycolytic intermediates to CO in intact Escherichia coli | Q46566117 | ||
Determination of the cytosolic free NAD/NADH ratio in Saccharomyces cerevisiae under steady-state and highly dynamic conditions | Q46668901 | ||
Quantitative physiological study of the fast dynamics in the intracellular pH of Saccharomyces cerevisiae in response to glucose and ethanol pulses | Q46869987 | ||
A metabolic network stoichiometry analysis of microbial growth and product formation | Q47864492 | ||
Dynamic modeling of the central carbon metabolism of Escherichia coli | Q50970929 | ||
P433 | issue | 3 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | modelling biological systems | Q4299308 |
P304 | page(s) | 294-306 | |
P577 | publication date | 2011-02-24 | |
P1433 | published in | Metabolic Engineering | Q6822334 |
P1476 | title | An in vivo data-driven framework for classification and quantification of enzyme kinetics and determination of apparent thermodynamic data | |
P478 | volume | 13 |
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Q39856357 | Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary ¹³C flux analysis. |
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Q42013266 | In vivo analysis of Saccharomyces cerevisiae plasma membrane ATPase Pma1p isoforms with increased in vitro H+/ATP stoichiometry. |
Q53239744 | Increasing free-energy (ATP) conservation in maltose-grown Saccharomyces cerevisiae by expression of a heterologous maltose phosphorylase |
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Q42247962 | Intracellular product recycling in high succinic acid producing yeast at low pH. |
Q83394208 | Lipase-catalyzed remote kinetic resolution of citalopram intermediate by asymmetric alcoholysis and thermodynamic analysis |
Q57232693 | Lost in Transition: Start-Up of Glycolysis Yields Subpopulations of Nongrowing Cells |
Q43704553 | MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis |
Q42227095 | Metabolic adjustment upon repetitive substrate perturbations using dynamic 13C-tracing in yeast |
Q35136555 | Metabolic modelling in the development of cell factories by synthetic biology |
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Q38263318 | Multi-tasking of biosynthetic and energetic functions of glycolysis explained by supply and demand logic |
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