A quadratic programming approach for decomposing steady-state metabolic flux distributions onto elementary modes

Bioinformatics

Volumn 21, Issue SUPPL. 2, 2005, Pages

  Schwartz, Jean Marc ^a   Kanehisa, Minoru ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOINFORMATICS; COMPUTER PROGRAM; DECOMPOSITION; FUNGAL METABOLISM; GLUCOSE METABOLISM; GLYCOLYSIS; ION CURRENT; MATHEMATICAL COMPUTING; NONHUMAN; PRIORITY JOURNAL; STEADY STATE; STOICHIOMETRY; YEAST;

EID: 27544434362     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti1132     Document Type: Article

References (7)

1. Fletcher,R. (1987) Practical Methods of Optimization, 2nd edn. John Wiley & Sons, Chichester.
2. Olivier,B.G. and Snoep,J.L. (2004) Web-based kinetic modelling using JWS Online. Bioinformatics, 20, 2143-2144.
3. Papin,J.A. et al. (2003) Metabolic pathways in the post-genome era. Trends Biochem. Sci., 28, 250-258.
4. Papin,J.A. et al. (2004) Comparison of network-based pathway analysis methods. Trends Biotech., 22, 400-405.
5. Schuster,S. et al. (2000) A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks. Nature Biotech., 18, 326-332.
6. Teusink,B. et al. (2000) Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry. Eur. J. Biochem., 267, 5313-5329.
7. Wiback,S.J. et al. (2003) Reconstructing metabolic flux vectors from extreme pathways: Defining the α-spectrum. J. Theor. Biol., 224, 313-324.