title: Systems Biology of Metabolism.
abstract: Metabolism is highly complex and involves thousands of different connected reactions; it is therefore necessary to use mathematical models for holistic studies. The use of mathematical models in biology is referred to as systems biology. In this review, the principles of systems biology are described, and two different types of mathematical models used for studying metabolism are discussed: kinetic models and genome-scale metabolic models. The use of different omics technologies, including transcriptomics, proteomics, metabolomics, and fluxomics, for studying metabolism is presented. Finally, the application of systems biology for analyzing global regulatory structures, engineering the metabolism of cell factories, and analyzing human diseases is discussed.
authors.affiliation: Department of Biology and Biological Engineering, Chalmers University of Technology, SE41128 Gothenburg, Sweden; email: nielsenj@chalmers.se.|Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK2800 Lyngby, Denmark.|Science for Life Laboratory, Royal Institute of Technology, SE17121 Stockholm, Sweden.
authors.forename: Jens
authors.initials: J
authors.lastname: Nielsen
mesh_terms: D001419:Bacteria / Q000235:genetics / Q000378:metabolism; D005658:Fungi / Q000235:genetics / Q000378:metabolism; D016678:Genome; D006801:Humans; D007700:Kinetics; D060847:Metabolic Engineering; D055432:Metabolomics / Q000379:methods / Q000706:statistics & numerical data*; D008954:Models, Biological; D015233:Models, Statistical; D040901:Proteomics; D049490:Systems Biology / Q000379:methods / Q000706:statistics & numerical data*; D059467:Transcriptome
keywords: genome-scale metabolic models; metabolic engineering; metabolomics; proteomics; systems medicine; transcriptomics