title: Metabolic network reconstruction: advances in in silico interpretation of analytical information.
abstract: Mathematical modelling is a powerful tool for the organisation and analysis of biological data. Both stoichiometric and kinetic models have been applied to the investigation of cellular metabolism in a variety of bacterial, yeast and mammalian hosts to elucidate metabolic network structure, optimise fermentation conditions and improve genetic engineering strategies among others. The current challenge is to interrelate different levels of information, from the genome to the transcriptome, the proteome and the metabolome, and experimental data from widely used high-throughput techniques to recreate a given phenotype and ultimately to make predictions about network and cellular behaviour.
authors: Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK.
authors: Ning
authors: N
authors: Chen
authors: Ioscani Jimenez
authors: IJ
authors: del Val
authors: Sarantos
authors: S
authors: Kyriakopoulos
authors: Karen M
authors: KM
authors: Polizzi
authors: Cleo
authors: C
authors: Kontoravdi
mesh_terms: D000818:Animals; D004926:Escherichia coli / Q000378:metabolism; D005285:Fermentation; D005818:Genetic Engineering; D007700:Kinetics; D008322:Mammals / Q000378:metabolism; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D012441:Saccharomyces cerevisiae / Q000378:metabolism