Publications of the Systems Biology group

  • 2013 Rossell S, Huynen MA, Notebaart RA.
    Inferring metabolic States in uncharacterized environments using gene-expression measurements.
    PLoS Comput Biol, Mar;9(3):e1002988. doi: 10.1371/journal.pcbi.1002988. Details

  • 2012 Balsa E, Marco R, Perales-Clemente E, Szklarczyk R, Calvo E, Landázuri MO, Enríquez JA.
    NDUFA4 Is a Subunit of Complex IV of the Mammalian Electron Transport Chain.
    Cell Metab, Sep 5;16(3):378-386. Details

  • 2012 Dessimoz C, Gabaldón T, Roos DS, Sonnhammer EL, Herrero J; Quest for Orthologs Consortium.
    Toward community standards in the quest for orthologs.
    Bioinformatics, Mar 15;28(6):900-904. Details

  • 2011 Papp B, Notebaart RA, Pál C.
    Systems-biology approaches for predicting genomic evolution.
    Nat Rev Genet, Aug 2;12(9):591-602. Details

  • 2011 Papp B, Szappanos B, Notebaart RA.
    Use of genome-scale metabolic models in evolutionary systems biology.
    Methods Mol Biol, 759(3):483-497. Details

  • 2011 Rossell S, Solem C, Jensen PR, Heijnen JJ.
    Towards a quantitative prediction of the fluxome from the proteome.
    Metab Eng, May;13(3):253-262. Details

  • 2011 van Eunen K, Rossell S, Bouwman J, Westerhoff HV, Bakker BM.
    Quantitative analysis of flux regulation through hierarchical regulation analysis.
    Methods Enzymol, 500:571-595. Details

  • 2009 Papp B, Teusink B, Notebaart RA.
    A critical view of metabolic network adaptations.
    HFSP J, Feb;3(1):24-35. Details

  • 2009 Verouden MPH, Notebaart RA, Westerhuis JA, van der Werf MJ, Teusink B, Smilde AK.
    Multi-way analysis of flux distributions across multiple conditions.
    J. Chemometrics, 23(7-8):406-420. Details

  • 2009 Teusink B, Wiersma A, Jacobs L, Notebaart RA, Smid EJ.
    Understanding the adaptive growth strategy of Lactobacillus plantarum by in silico optimisation.
    PLoS Comput Biol, Jun;5(6):e1000410. Details

  • 2009 Notebaart RA, Kensche PR, Huynen MA, Dutilh BE.
    Asymmetric relationships between proteins shape genome evolution.
    Genome Biol, Feb 12;10(2):R19. Details

  • 2008 Notebaart RA, Teusink B, Siezen RJ, Papp B.
    Co-regulation of metabolic genes is better explained by flux coupling than by network distance.
    PLoS Comput Biol, 4(1):e26 Details