mitochondrial alpha-glycerophosphate reaction of H-transporter
cytoplasmic alpha-glycerophosphate reaction of H-transporter
This model is from the article: An old paper revisited: ‘‘A mathematical model of carbohydrate energy metabolism. Interaction between glycolysis, the Krebs cycle and the H-transporting shuttles at varying ATPases load’’ by V.V. Dynnik, R. Heinrich and E.E. Sel’kov Nazaret C, Mazat JP. J Theor Biol 2008 Jun;252(3):520-9. 18304584 , Abstract: We revisit an old Russian paper by V.V. Dynnik, R. Heinrich and E.E. Sel’kov (1980a, b) describing: ‘‘A mathematical model of carbohydrate energy metabolism. Interaction between glycolysis, the Krebs cycle and the H-transporting shuttles at varying ATPases load’’. We analyse the model mathematically and calculate the control coefficients as a function of ATPase loads. We also evaluate the structure of the metabolic network in terms of elementary flux modes. We show how this model can respond to an ATPase load as well as to the glucose supply. We also show how this simple model can help in understanding the articulation between the major blocks of energetic metabolism, i.e. glycolysis, the Krebs cycle and the H-transporting shuttles. Note: "dynnik_v1.xml": created directly from "heinrich.sci" model file provided by Christine Nazaret IDs changed to as per the paper initial conditions set to steady state results of Fig. 3 may be reproduced by running a a parameter scan over b15 in COPASI "dynnik_v2.xml": rescaled species such as s2_e1 = s2 * e1 are introduced whose evolution may be described through reaction participation, rather than via ODEs original variables are retained as global parameters 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.