| Literature DB >> 15130824 |
Alberto de la Fuente1, Pedro Mendes.
Abstract
The goal of modelling biochemical networks is to understand the system's behaviour (dynamics and control) of these networks in terms of the properties of the individual molecules. Most modelling approaches have dealt with either gene expression or cell metabolism. In light of the widespread use of robotic technologies in laboratories and improved computational power, it is now time to incorporate information from all biochemical levels--gene expression, protein interactions and metabolism--into integrated models. Here, we review the literature on modelling gene expression with cell metabolism. At the end we describe some analytic methods to deal with these systems.Mesh:
Year: 2003 PMID: 15130824
Source DB: PubMed Journal: Appl Bioinformatics ISSN: 1175-5636