Models

Dataset Information

0

Teusink2000_Glycolysis


ABSTRACT: Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry. Teusink,B et al.: Eur J Biochem 2000 Sep;267(17):5313-29. The model reproduces the steady-state fluxes and metabolite concentrations of the branched model as given in Table 4 of the paper. It is derived from the model on JWS online, but has the ATP consumption in the succinate branch with the same stoichiometrie as in the publication. The model was successfully tested on copasi v.4.4(build 26). For Vmax values, please note that there is a conversion factor of approx. 270 to convert from U/mg-protein as shown in Table 1 of the paper to mmol/(min*L_cytosol). The equilibrium constant for the ADH reaction in the paper is given for the reverse reaction (Keq = 1.45*10 4 ). The value used in this model is for the forward reaction: 1/Keq = 6.9*10 -5 . Vmax parameters values used (in [mM/min] except VmGLT): VmGLT 97.264 mmol/min VmGLK 226.45 VmPGI 339.667 VmPFK 182.903 VmALD 322.258 VmGAPDH_f 1184.52 VmGAPDH_r 6549.68 VmPGK 1306.45 VmPGM 2525.81 VmENO 365.806 VmPYK 1088.71 VmPDC 174.194 VmG3PDH 70.15 The result of the G6P steady state concentration (marked in red) differs slightly from the one given in table 4. of the publication Results for steady state: orig. article this model Fluxes[mM/min]   Glucose  88  88  Ethanol  129  129  Glycogen  6  6  Trehalose  4.8  4.8  (G6P flux through trehalose branch) Glycerol  18.2  18.2  Succinate  3.6  3.6  Conc.[mM]   G6P  1.07  1.03  F6P  0.11  0.11  F1,6P  0.6  0.6  DHAP  0.74  0.74  3PGA  0.36  0.36  2PGA  0.04  0.04  PEP  0.07  0.07  PYR  8.52  8.52  AcAld  0.17  0.17  ATP  2.51  2.51  ADP  1.29  1.29  AMP  0.3  0.3  NAD  1.55  1.55  NADH  0.04  0.04  Authors of the publication also mentioned a few misprints in the original article: in the kinetic law for ADH : the species a should denote NAD and b Ethanol the last term in the equation should read bpq /( K ib K iq K p ) in the kinetic law for PFK : R = 1 + λ 1 + λ 2 + g r λ 1 λ 2 equation L should read: L = L0*(..) 2 *(..) 2 *(..) 2 not L = L0*(..) 2 *(..) 2 *(..) To make the model easier to curate, the species ATP , ADP and AMP were added. These are calculated via assignment rules from the active phosphate species, P , and the sum of all AXP , SUM_P . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Nicolas Le Novère  

PROVIDER: BIOMD0000000064 | BioModels | 2008-09-16

REPOSITORIES: BioModels

altmetric image

Publications

Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry.

Teusink B B   Passarge J J   Reijenga C A CA   Esgalhado E E   van der Weijden C C CC   Schepper M M   Walsh M C MC   Bakker B M BM   van Dam K K   Westerhoff H V HV   Snoep J L JL  

European journal of biochemistry 20000901 17


This paper examines whether the in vivo behavior of yeast glycolysis can be understood in terms of the in vitro kinetic properties of the constituent enzymes. In nongrowing, anaerobic, compressed Saccharomyces cerevisiae the values of the kinetic parameters of most glycolytic enzymes were determined. For the other enzymes appropriate literature values were collected. By inserting these values into a kinetic model for glycolysis, fluxes and metabolites were calculated. Under the same conditions f  ...[more]

Similar Datasets

2017-08-16 | GSE102691 | GEO
2014-09-15 | MODEL1409050001 | BioModels
2020-05-07 | E-MTAB-8547 | biostudies-arrayexpress
2019-07-02 | GSE133625 | GEO
2020-08-06 | MODEL2008060001 | BioModels
2023-10-27 | PXD044422 | Pride
2017-07-06 | MTBLS316 | MetaboLights
2019-10-15 | GSE134103 | GEO
2014-09-15 | MODEL1409050000 | BioModels
2013-06-01 | E-GEOD-45273 | biostudies-arrayexpress