title: Identification of flux regulation coefficients from elementary flux modes: A systems biology tool for analysis of metabolic networks.
abstract: Within a metabolic network, the elementary flux modes enables a unique description of different operations of the network. Thus, the metabolic fluxes can be specified as convex combinations of the elementary flux modes. Here, we describe an approach to identify the set of elementary flux modes that operates in a given metabolic network through the use of measurements of macroscopic fluxes, that is, fluxes in and out of the cell. Besides enabling estimation of the metabolic fluxes, the parameters of the linear combinations of the elementary flux modes provide valuable physiological information; we call these parameters flux regulation coefficients (FRCs). These coefficients indicate which enzyme subsets are important at different growth conditions. We demonstrate how FRCs can be used to map the operation of the metabolic network of the yeast Saccharomyces sp. under different growth conditions.
authors.affiliation: Department of Chemical Engineering, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand.
authors.forename: Intawat
authors.initials: I
authors.lastname: Nookaew
authors.forename: Asawin
authors.initials: A
authors.lastname: Meechai
authors.forename: Chinae
authors.initials: C
authors.lastname: Thammarongtham
authors.forename: Kobkul
authors.initials: K
authors.lastname: Laoteng
authors.forename: Vasimon
authors.initials: V
authors.lastname: Ruanglek
authors.forename: Supapon
authors.initials: S
authors.lastname: Cheevadhanarak
authors.forename: Jens
authors.initials: J
authors.lastname: Nielsen
authors.forename: Sakarindr
authors.initials: S
authors.lastname: Bhumiratana
mesh_terms: D049109:Cell Proliferation; D003198:Computer Simulation; D004735:Energy Transfer / Q000502:physiology; D008954:Models, Biological; D012441:Saccharomyces cerevisiae / Q000502:physiology*; D029701:Saccharomyces cerevisiae Proteins / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D012984:Software; D049490:Systems Biology / Q000379:methods
chemical_list: D029701:Saccharomyces cerevisiae Proteins