Research and Application of Differential Equation System in Gene Regulation Network and Metabolic Pathway

Abstract

With the rapid increase in the number of organisms that complete sequencing and the wider understanding of gene functions, the study of biological networks has attracted more and more attention in bioinformatics. Moreover, due to the development of computer technology, more and more modelling models of regulatory networks and metabolic pathways are built. However, the evolution process of differential equation system is still in its infancy. There are some problems, such as large errors in structure and parameters, and too large amount of calculation in establishing models. Therefore, the author seeks solutions to related problems through the research and application of gene regulatory networks and metabolic pathways through differential equation systems. Studies have shown that a new optimization strategy is needed to obtain accurate differential equations in order to better solve practical problems in systems biology. At the same time, using a split idea can greatly reduce the search space in the process of equation optimization, and also combines the characteristics of the flexible tree model close to the form of differential equations.