Project Description

Systems biology opens a new viewpoint for understanding the complexity of living organisms as a “whole” rather than “individual parts”. In this context, metabolic network models provides an abstraction to study the metabolism of cells which are typically large and complex. To better understand the underlying structure of these networks and principles governing their dynamics, finding different types of modules or decomposing them into functional parts can be a good practice. Additionally, decomposing metabolic networks paves the way to use computational methods that will be otherwise very slow when run on the original genome-scale network. We are trying to experience with current approaches to this problem, evaluate them, and propose new methods to finding modules and decomposing metabolic networks..