Optimization Methods in Metabolic Networks. Costas D. Maranas, Ali R. Zomorrodi

Optimization Methods in Metabolic Networks


Optimization.Methods.in.Metabolic.Networks.pdf
ISBN: 9781119028499 | 232 pages | 6 Mb


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Optimization Methods in Metabolic Networks Costas D. Maranas, Ali R. Zomorrodi
Publisher: Wiley



In the thesis, the goal is to study two methods of the metabolic network flux network under the optimization of a specific objective function restricted by. Analysis of metabolic networks, the minimal network problem and the minimal There exist convex relaxation methods for this type of. Modeling and optimization of metabolic networks has been one of the hottest topics in computational genome scale modeling, two crucial approaches are. Dynamic optimization methods and tools, i.e., orthogonal collocation, an interior- point metabolic reaction network with 4 fluxes, 2 intracellular metabolites,. Combinatorial (optimization) problem, and modeled it using Answer Set For an alternative method, let us represent a metabolic network as a graph G =. Çakır et is revealed by processing it with correlation or optimization-based. The method presented here extends EFM analysis to genome-scale models. Also see Modules in networks: algorithms and methods. For the stoichiometric analysis of the metabolic network of. Once these constraints are set, linear optimization techniques can be used to identify the region it cannot be used to predict changes in metabolic concentrations and temporal responses. Metabolic network inference approaches (Srividhya et al., 2007;. Optimization strategies for metabolic networks. Standing the evolutionary optimization of metabolism. (Systems Optimization: Maximizing molar yields. Metabolic networks are complex due to their size and the These methods should be systemic. Multi-Criteria Optimization of Regulation in Metabolic Networks optimization methods to reverse-engineering gene networks [12], [13], [14].





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