/* * A Substrate Switch: A New Mode of Regulation in the Methionine * Metabolic Pathway * * Model Status * * This model runs in COR and OpenCell, and the units are consistent * throughout. It is a faithful reproduction of the paper equations, * and the output is similar (but not identical) to the published * results (Fig 5). * * Model Structure * * ABSTRACT: We propose a simple mathematical model of liver S-adenosylmethionine * (AdoMet) metabolism. Analysis of the model has shown that AdoMet * metabolism can operate under two different modes. The first, * with low metabolic rate and low AdoMet concentration, serves * predominantly to supply the cell with AdoMet, the substrate * for various cellular methylation reactions. The second, with * high metabolic rate and high AdoMet concentration, provides * an avenue for cleavage of excess methionine and can serve as * a source of cysteine when its increased synthesis is necessary. * The switch that triggers interconversion between the "low" and * "high" modes is methionine concentration. Under a certain set * of parameters both modes may coexist. This behavior results * from the kinetic properties of (i) the two isoenzymes of AdoMet * synthetase, MATI and MATIII, that catalyse AdoMet production; * one is inhibited by AdoMet, whereas the other is activated by * it, and (ii) glycine-N-methyltransferase that displays highly * cooperative kinetics that is different from that of other AdoMet-dependent * methyltransferases. Thus, the model provides an explanation * for how different cellular needs are met by regulation of this * pathway. The model also correctly identifies a critical role * for glycine N-methyltransferase in depleting excess methionine * in the high mode, thus avoiding the toxicity associated with * elevated levels of this essential amino acid. * * The original paper reference is cited below: * * A Substrate Switch: A New Mode of Regulation in the Methionine * Metabolic Pathway, Michael V. Martinov, Victor M. Vitvitsky, * Eugene V. Mosharov, Ruma Banerjee, and Fazoil I. Ataullakhanov, * 2000, Journal of Theoretical Biology, 204, 521-532. PubMed ID: * 10833353 * * reaction diagram * * [[Image file: martinov_2000.png]] * * Simplified pathway of methionine metabolism in liver cells employed * for modelling in the study described here. The main metabolites * are shown in blue boxes and the enzymes in red boxes. */ import nsrunit; unit conversion on; // unit micromolar predefined unit hour=3600 second^1; unit flux=2.7777778E-7 meter^(-3)*second^(-1)*mole^1; unit first_order_rate_constant=2.7777778E-4 second^(-1); math main { realDomain time hour; time.min=0; extern time.max; extern time.delta; real Ado micromolar; Ado=1; real Met(time) micromolar; real Hcy(time) micromolar; real AdoHcy(time) micromolar; when(time=time.min) AdoHcy=3; real K_AHC micromolar; K_AHC=0.1; real AdoMet(time) micromolar; when(time=time.min) AdoMet=60; real V_MET(time) flux; real V_GNMT(time) flux; real V_MATI(time) flux; real V_MATIII(time) flux; real V_D(time) flux; real V_MATImax flux; V_MATImax=561; real Km_MATI micromolar; Km_MATI=41; real Ki_MATI micromolar; Ki_MATI=50; real V_MATIIImax flux; V_MATIIImax=22870; real Km1_MATIII(time) micromolar; real Km2_MATIII micromolar; Km2_MATIII=21.1; real V_METmax flux; V_METmax=4544; real Km1_MET(time) micromolar; real Km2_MET_A dimensionless; Km2_MET_A=10; real V_GNMTmax flux; V_GNMTmax=10600; real Km_GNMT micromolar; Km_GNMT=4500; real Ki_GNMT micromolar; Ki_GNMT=20; real alpha_d first_order_rate_constant; alpha_d=1333; // // // Met=(if ((time>=(0 hour)) and (time<(5 hour))) (45 micromolar) else if ((time>=(5 hour)) and (time<(15 hour))) (52 micromolar) else if ((time>=(15 hour)) and (time<(60 hour))) (55 micromolar) else if ((time>=(60 hour)) and (time<(75 hour))) (52 micromolar) else if (time>=(75 hour)) (45 micromolar) else 0); // Hcy=(AdoHcy*K_AHC/Ado); // // AdoMet:time=(V_MATI+V_MATIII-(V_MET+V_GNMT)); // AdoHcy:time=((V_MET+V_GNMT-V_D)/(1+K_AHC/Ado)); // V_MATI=(V_MATImax/(1+Km_MATI/Met*(1+AdoMet/Ki_MATI))); // V_MATIII=(V_MATIIImax/(1+Km1_MATIII*Km2_MATIII/(Met^2+Met*Km2_MATIII))); Km1_MATIII=((2E4 micromolar)/(1+5.7*(AdoMet/(AdoMet+(600 micromolar)))^2)); // V_MET=(V_METmax/(1+Km1_MET/AdoMet+Km2_MET_A+Km2_MET_A*Km1_MET/AdoMet)); Km1_MET=((10 micromolar)*(1+AdoHcy/(4 micromolar))); // V_GNMT=(V_GNMTmax/(1+(Km_GNMT/AdoMet)^2.3)*1/(1+AdoHcy/Ki_GNMT)); // V_D=(alpha_d*Hcy); }