title: A quadratic programming approach for decomposing steady-state metabolic flux distributions onto elementary modes.
abstract: BACKGROUND
  It is known that steady-state flux distributions in metabolic networks can be expressed as non-negative combinations of elementary modes. However, little understanding has been achieved so far in how individual elementary modes contribute to the reconstruction of actual physiological flux distributions.
  
  
  RESULTS
  We introduce an approach for decomposing steady-state flux distributions onto elementary modes based on quadratic programming. The decomposition is performed so as to favour modes that are closest to the actual state of the system, i.e. most relevant for biological interpretation. As an illustration, an application of this approach to a model of yeast glycolysis is presented.
  
  
  BACKGROUND
  Software is available upon request from the authors.
authors.affiliation: Bioinformatics Center, Institute for Chemical Research, Kyoto University Uji, Kyoto, Japan. jean@kuicr.kyoto-u.ac.jp
authors.forename: Jean-Marc
authors.initials: JM
authors.lastname: Schwartz
authors.forename: Minoru
authors.initials: M
authors.lastname: Kanehisa
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004734:Energy Metabolism / Q000502:physiology; D005656:Fungal Proteins / Q000378:metabolism*; D020869:Gene Expression Profiling / Q000379:methods*; D006019:Glycolysis / Q000502:physiology*; D007700:Kinetics; D008954:Models, Biological; D011382:Programming, Linear; D015398:Signal Transduction / Q000502:physiology*; D015003:Yeasts / Q000378:metabolism*
chemical_list: D005656:Fungal Proteins