/* * Metabolic Control Analysis of Glycerol Synthesis in Saccharomyces * cerevisiae * * Model Status * * This model runs in COR and OpenCell and the units are consistent * throughout. The model does not currently reproduce the published * results, possibly due to missing parameter values in the paper. * * Model Structure * * ABSTRACT: Glycerol, a major by-product of ethanol fermentation * by Saccharomyces cerevisiae, is of significant importance to * the wine, beer, and ethanol production industries. To gain a * clearer understanding of and to quantify the extent to which * parameters of the pathway affect glycerol flux in S. cerevisiae, * a kinetic model of the glycerol synthesis pathway has been constructed. * Kinetic parameters were collected from published values. Maximal * enzyme activities and intracellular effector concentrations * were determined experimentally. The model was validated by comparing * experimental results on the rate of glycerol production to the * rate calculated by the model. Values calculated by the model * agreed well with those measured in independent experiments. * The model also mimics the changes in the rate of glycerol synthesis * at different phases of growth. Metabolic control analysis values * calculated by the model indicate that the NAD(+)-dependent glycerol * 3-phosphate dehydrogenase-catalyzed reaction has a flux control * coefficient (C(J)v1) of approximately 0.85 and exercises the * majority of the control of flux through the pathway. Response * coefficients of parameter metabolites indicate that flux through * the pathway is most responsive to dihydroxyacetone phosphate * concentration (R(J)DHAP= 0.48 to 0.69), followed by ATP concentration * (R(J)ATP = -0.21 to -0.50). Interestingly, the pathway responds * weakly to NADH concentration (R(J)NADH = 0.03 to 0.08). The * model indicates that the best strategy to increase flux through * the pathway is not to increase enzyme activity, substrate concentration, * or coenzyme concentration alone but to increase all of these * parameters in conjunction with each other. * * The complete original paper reference is cited below: * * Metabolic Control Analysis of Glycerol Synthesis in Saccharomyces * cerevisiae , Garth R. Cronwright, Johann M. Rohwer, and Bernard * A. Prior, 2002, Applied and Environmental Microbiology , 68, * 4448-4456. PubMed ID: 12200299 * * reaction diagram * * [[Image file: cronwright_2002.png]] * * Schematic diagram of the glycerol synthesis pathway in Saccharomyces * cerevisiae. */ import nsrunit; unit conversion on; // unit millimolar predefined unit minute=60 second^1; unit flux=.01666667 meter^(-3)*second^(-1)*mole^1; unit first_order_rate_constant=.01666667 second^(-1); math main { realDomain time minute; time.min=0; extern time.max; extern time.delta; real F16BP millimolar; real G3P(time) millimolar; when(time=time.min) G3P=24; real V_Gpd_p(time) flux; real V_Gpp_p(time) flux; real DHAP millimolar; real ATP millimolar; real ADP millimolar; real NADH millimolar; real NAD millimolar; real Pi_ millimolar; real K_F16BP millimolar; K_F16BP=4.8; real K_ATP millimolar; K_ATP=0.73; real K_ADP millimolar; K_ADP=2; real K_NAD millimolar; K_NAD=0.93; real K_NADH millimolar; K_NADH=0.023; real V_Gpd_p.K_G3P millimolar; V_Gpd_p.K_G3P=1.2; real K_DHAP millimolar; K_DHAP=0.54; real K_eq dimensionless; K_eq=1e4; real Vf flux; Vf=36; real V_Gpp_p.K_G3P millimolar; V_Gpp_p.K_G3P=3.5; real K_Pi millimolar; K_Pi=1; real V flux; V=18; // // F16BP=(0 millimolar); // G3P:time=((-1)*V_Gpp_p+V_Gpd_p); // DHAP=(.59 millimolar); // ATP=(2.37 millimolar); // ADP=(2.17 millimolar); // NADH=(1.87 millimolar); // NAD=(1.45 millimolar); // Pi_=(2.17 millimolar); // V_Gpd_p=(Vf/(K_NADH*K_DHAP)*(NADH*DHAP-NAD*G3P/K_eq)/((1+F16BP/K_F16BP+ATP/K_ATP+ADP/K_ADP)*(1+NADH/K_NADH+NAD/K_NAD)*(1+DHAP/K_DHAP+G3P/V_Gpd_p.K_G3P))); // V_Gpp_p=(V*G3P/V_Gpp_p.K_G3P/((1+G3P/V_Gpp_p.K_G3P)*(1+Pi_/K_Pi))); }