Integrative modelling of gene expression and cell metabolism.
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.
de la Fuente
Alberto
A
Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. alf@vbi.vt.edu
Mendes
Pedro
P
D000818:Animals; D002468:Cell Physiological Phenomena; D015870:Gene Expression / Q000502:physiology*; D005786:Gene Expression Regulation / Q000502:physiology*; D006801:Humans; D008660:Metabolism / Q000502:physiology*; D008954:Models, Biological; D008957:Models, Genetic; D015398:Signal Transduction / Q000502:physiology*; D018511:Systems Integration