Sensitivity analysis of stoichiometric networks: an extension of metabolic control analysis to non-steady state trajectories

2003 ◽  
Vol 222 (1) ◽  
pp. 23-36 ◽  
Author(s):  
Brian P. Ingalls ◽  
Herbert M. Sauro
Author(s):  
Mamta Sagar ◽  
Pramod Wasudev Ramteke ◽  
Ravindra Nath Katiyar ◽  
Shameem Ahmad

Metabolic Control Analysis provides a quantitative description of concentration dynamics with the change in system parameters. A metabolic Control Analysis aids determination of the threshold value of metabolites involved in a reaction and also helps to understand the role of various parameters in a reaction. In this work, a metabolic model of a Naringenine chalcone biosynthetic reaction is defined and a time series simulation was carried out based on the law of Mass action. Initial concentration of p-Coumaroyl-CoA and Malonyl-CoA were taken 5.0*10-2 mM 2.2*10-3 mM respectively. This concentration was then simulated over time for 10 seconds to find the steady state. Final concentration of  Naringenine chalcone,CO2, and CoA becomes 8.593946e-004 mM after 5.00 second of simulation at reaction constant 6.587753e-005 mM*ml/s. Steady state solution shows that Initial concentration of Naringenine chalcone was 2.199777e-003 mM which is eventually converted into 2.785128e+013 seconds half-life concentration of product at 7.898e-017 mM/s rate and  0.000000e+000 mM*ml/s  rate constant. Phenylpropanoid pathway was analysed to predict all the enzymes that can maximise and minimise the concentration of  Malonyl-CoA and P-Coumaroyl-CoA which leads to flavonoid biosynthesis. In the Phenylpropanoid pathway four enzymes Phenylalanine/tyrosine ammonia lyase, trans-cinnamate 4-monooxygenase, Phenylalanine ammonia lyase, maximise the flavonoid biosynthesis. This analysis shows that other enzymes minimise the concentrations of  Malonyl-CoA and P-coumaroyl-CoA, these are Cinnamoyl Co A reductase, shikimate O hydroxyl transferase HCT), Oxidoreductase. Furthermore, Protein domain analysis of chalcone synthase mutants ( 1jwx Medicago sativa and 4yjy from Oryza sativa) was done to predict structural features to understand reaction mechanism and structure-based engineering to maximise flavonoid biosynthesis. Natural sequence variation CHS G256A, G256V, G256L, and G256F mutants of residue 256 reduce the size of the active site cavity but quick diversification of product specificity occurs. The threshold concentration of Malonyl-CoA and P-coumaroyl-CoA were predicted, maximisation of this concentration leads to enhanced flavonoid biosynthesis. Inhibition of few enzymes may also maximise the flavonoid biosynthesis if appropriate inhibitors are used and a constant supply of Malonyl-CoA and P-Coumaroyl-CoA is maintained using activator molecules. Chalcone synthase Mutants diversify product specificity that occurs without loss of catalytic activity and any conformational changes.


2018 ◽  
Author(s):  
David Andrew Fell

Metabolic Control Analysis defines the relationships between the change in activity of an enzyme and the resulting impacts on metabolic fluxes and metabolite concentrations at steady state. In many biotechnological applications of metabolic engineering, however, the goal is to alter the product yield. In this case, although metabolism may be at a pseudo-steady state, the amount of biomass catalysing the metabolism can be growing exponentially. Here, expressions are derived that relate the change in activity of an enzyme and its flux control coefficient to the change in yield from an exponentially growing system. Conversely, the expressions allow estimation of an enzyme's flux control coefficient over the pathway generating the product from measurements of the changes in enzyme activity and yield.


2008 ◽  
Vol 146 (3) ◽  
pp. 267-273 ◽  
Author(s):  
T. C. WRIGHT ◽  
J. P. CANT ◽  
B. W. MCBRIDE

SUMMARYSensitivity analysis is routinely carried out in the evaluation of simulation models to identify the degree to which parameters influence model outputs. This type of sensitivity analysis is much less frequently applied to real systems, but a technique called metabolic control analysis (MCA) was developed in the 1970s for the purpose of experimentally identifying the degree to which individual enzymes in a metabolic pathway influence flux through the pathway. MCA is applied to the results of inhibition, activation or genetic manipulation of enzymatic steps in a biochemical pathway. Flux control coefficients for each enzyme are defined as the fractional change in steady-state flux through the entire pathway for an infinitesimal change in the activity of that one enzyme. The sum of control coefficients in a linear, non-branching pathway is equal to one. It is a common finding in MCA that the control, or sensitivity, is distributed over multiple enzymes and not in a single rate-limiting enzyme. The fundamental principles of MCA are reviewed and an overview of experimental methods to measure control coefficients is provided, with the objective of introducing this approach to the fields of agricultural biochemistry and modelling, where it is little known. The application of MCA to the study of glucose metabolism and fatty acid synthesis in bovine mammary tissue are reviewed. The analyses indicated that mammary hexokinase activity exerts more control than transmembrane transport of glucose over lactose synthesis, and that control of cytosolic fatty acid synthesis is shared between acetyl-CoA carboxylase and fatty acid synthase, contrary to the widely held view that acetyl CoA carboxylase is the rate-limiting enzyme. It is suggested that MCA could be a valuable aid in the integration of proteomic and metabolomic data with metabolic flux measurements to engineer desired changes in the composition of milk from dairy animals.


Author(s):  
Sophia Tsouka ◽  
Meric Ataman ◽  
Tuure Hameri ◽  
Ljubisa Miskovic ◽  
Vassily Hatzimanikatis

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