Method for determining multiple optimization targets of microbial metabolism network model and application thereof

Abstract

The invention discloses a method for determining multiple optimization targets of a microbial metabolism network model and application of the method. According to the method, on the basis of a genome scale metabolic network model of microorganisms, a plurality of optimization targets are defined according to general rules of microorganism growth, constraint conditions are determined through flux equilibrium analysis, an optimization problem is constructed and solved, and a multi-target differential evolution method is adopted for a main body structure of the solving method. Firstly, an objective function is defined, and an initial population meeting constraint conditions is generated by using a general single-objective linear programming method according to a basic rule of biological growth; then, iteration is carried out according to the steps of the adjusted differential evolution algorithm, and a Pareto optimal solution set meeting an optimization target and constraint conditions can be obtained after iteration is completed; and finally, the Pareto optimal solution set is analyzed, and solving of the genome metabolism network model is completed. The method can be applied to prediction of key flux in central metabolism.

Description

technical field [0001] The invention belongs to the interdisciplinary field of biotechnology and information technology, and relates to the determination of the optimization target of the genome-scale metabolic network of microorganisms and the application of multi-objective optimization in solving the genome-scale metabolic network. Background technique [0002] Metabolism refers to a series of chemical reactions that occur in living organisms. General cell metabolism has the following several processes: 1) Obtain nutritional substrates from outside the cell; 2) Decompose substrates into energy units and metabolite molecules; 3) Synthesize macromolecules and energy such as proteins, sugars, and lipids . Therefore, the metabolic system plays a very critical role in the cellular activities in microorganisms. As a bottom-up systems biology tool, the genome-scale metabolic network model connects genes, proteins and reactions in microorganisms, enabling the metabolic network m...

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Problems solved by technology

When using the single-objective linear programming method, a purely mathematical solution method is used to analyze the metabolic network model, and the characteristics of the biological system are difficult to be better reflected in this solution method

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