Featured Publications
Untangling the wires: A strategy to trace functional interactions in signaling and gene networks
Kholodenko BN, Kiyatkin A, Bruggeman FJ, Sontag E, Westerhoff HV, Hoek JB. Untangling the wires: A strategy to trace functional interactions in signaling and gene networks. Proceedings Of The National Academy Of Sciences Of The United States Of America 2002, 99: 12841-12846. PMID: 12242336, PMCID: PMC130547, DOI: 10.1073/pnas.192442699.Peer-Reviewed Original ResearchConceptsGene networksFunctional interactionMitogen-activated protein kinase cascadeProtein kinase cascadeProteomic data setsKinase cascadeCellular signalingLarge genomicsUnidentified elementsMechanistic levelCellular networkingSignalingCell systemGenomicsInteractionInteraction routesCascadeComputer-generated responsesNetwork responseCurrent methodologiesResponse
2008
Domain-oriented reduction of rule-based network models.
Borisov N, Chistopolsky A, Faeder J, Kholodenko B. Domain-oriented reduction of rule-based network models. IET Systems Biology 2008, 2: 342-51. PMID: 19045829, PMCID: PMC2628550, DOI: 10.1049/iet-syb:20070081.Peer-Reviewed Original ResearchConceptsMulti-domain proteinsAuxiliary proteinsMembrane-bound receptorsTranscriptional regulatorsProgenitor proteinsProtein interactionsComplex assemblyGrowth factor receptorProteinFactor receptorSpeciesCorrect mass balanceEffector functionsHeterodimerisationReceptorsSitesRegulatorAssemblyInteractionDomain
2004
Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data
Sontag E, Kiyatkin A, Kholodenko BN. Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data. Bioinformatics 2004, 20: 1877-1886. PMID: 15037511, DOI: 10.1093/bioinformatics/bth173.Peer-Reviewed Original Research
2002
Modular Response Analysis of Cellular Regulatory Networks
BRUGGEMAN F, WESTERHOFF H, HOEK J, KHOLODENKO B. Modular Response Analysis of Cellular Regulatory Networks. Journal Of Theoretical Biology 2002, 218: 507-520. PMID: 12384053, DOI: 10.1006/jtbi.2002.3096.Peer-Reviewed Original ResearchConceptsRegulatory networksMitogen-activated protein kinase cascadeEpidermal growth factor receptor (EGFR) networkGrowth factor receptor networkProtein kinase cascadeIntermodular interactionsCellular regulatory networksModular Response AnalysisIntracellular regulatory networksAmmonium assimilationKinase cascadeMolecular biological analysisGenetic circuitsInteraction mapSignal transducingEscherichia coliReceptor networkModular organizationMolecular interactionsBiological analysisSignal transferColiTransducingRegulationInteraction
1993
The sum of the control coefficients of all enzymes on the flux through a group‐transfer pathway can be as high as two
van DAM K, van der VLAG J, KHOLODENKO B, WESTERHOFF H. The sum of the control coefficients of all enzymes on the flux through a group‐transfer pathway can be as high as two. The FEBS Journal 1993, 212: 791-799. PMID: 8462550, DOI: 10.1111/j.1432-1033.1993.tb17720.x.Peer-Reviewed Original ResearchConceptsGroup-transfer pathwaysReaction activityDissociation rate constantsElectron transfer chainAcceptor couplesEnzyme-enzyme interactionsEnzyme concentrationRate constantsEnzyme-enzyme complexEnzyme interactionsComplexesControl of enzymesEnzyme complexEnzymeConcentrationBacterial phosphoenolpyruvateMain pathwayInteractionConstantsChainControl analysisSimple metabolic pathwaysSugar phosphotransferase system