CRNet translator: Building GMA, S-system models and chemical reaction networks of disease and metabolic pathways

College

College of Science

Department/Unit

Mathematics and Statistics Department

Document Type

Article

Source Title

11th International Conference on Information, Intelligence Systems and Applications (IISA)

First Page

1

Last Page

8

Publication Date

2020

Abstract

Ordinary Differential Equation (ODE) requires the use of differential equations to describe the dynamically changing phenomena, evolution, and variation and Chemical Reaction Net- work (CRN) is a model that gives a more general interpretation of biochemical networks as it ties aspects of reaction network structure in a precise way. In this study, these computational approaches can be used to model biological networks in the form of disease or metabolic pathways. Given the availability of data from Kyoto Encyclopedia of Genes and Genomes (KEGG), the application can convert the selected pathways to S-system or Generalized Mass-Action (GMA) ODE, and this ODE can be extended to its corresponding CRN to show more intimate relationships between network structure and basic phenomena of biological functions.

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Digitial Object Identifier (DOI)

10.1109/IISA50023.2020.9284412

Keywords

Differential equations; Chemical systems; Bioreactors

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