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Verstegen, N. J. M., Ubels, V., Westerhoff, H. V., van Ham, S. M., & Barberis, M. (2021). System-Level Scenarios for the Elucidation of T Cell-Mediated Germinal Center B Cell Differentiation. Frontiers in Immunology, 12, [734282]. https://doi.org/10.3389/fimmu.2021.734282[details]
Weglarz-Tomczak, E., Mondeel, T. D. G. A., Piebes, D. G. E., & Westerhoff, H. V. (2021). Simultaneous integration of gene expression and nutrient availability for studying the metabolism of hepatocellular carcinoma cell lines. BIOMOLECULES, 11(4), [490]. https://doi.org/10.3390/biom11040490[details]
Abudukelimu, A., Barberis, M., Redegeld, F., Sahin, N., Sharma, R. P., & Westerhoff, H. V. (2020). Complex Stability and an Irrevertible Transition Reverted by Peptide and Fibroblasts in a Dynamic Model of Innate Immunity. Frontiers in Immunology, 10, [3091]. https://doi.org/10.3389/fimmu.2019.03091[details]
Kolodkin, A. N., Sharma, R. P., Colangelo, A. M., Ignatenko, A., Martorana, F., Jennen, D., Briedé, J. J., Brady, N., Barberis, M., Mondeel, T. D. G. A., Papa, M., Kumar, V., Peters, B., Skupin, A., Alberghina, L., Balling, R., & Westerhoff, H. V. (2020). ROS networks: Designs, aging, Parkinson's disease and precision therapies. Npj Systems Biology and Applications, 6, [34]. https://doi.org/10.1038/s41540-020-00150-w[details]
Mondeel, T. D. G. A., Ivanov, O., Westerhoff, H. V., Liebermeister, W., & Barberis, M. (2020). Clb3-centered regulations are recurrent across distinct parameter regions in minimal autonomous cell cycle oscillator designs. Npj Systems Biology and Applications, 6, [8]. https://doi.org/10.1038/s41540-020-0125-0[details]
Sharma, R. P., Kumar, V., Schuhmacher, M., Kolodkin, A., & Westerhoff, H. V. (2020). Development and evaluation of a harmonized whole body physiologically based pharmacokinetic (PBPK) model for flutamide in rats and its extrapolation to humans. Environmental Research, 182, [108948]. https://doi.org/10.1016/j.envres.2019.108948[details]
Westerhoff, H. V., & Kolodkin, A. N. (2020). Advice from a systems-biology model of the corona epidemics. Npj Systems Biology and Applications, 6, [18]. https://doi.org/10.1038/s41540-020-0138-8[details]
Colangelo, A. M., Cirillo, G., Alberghina, L., Papa, M., & Westerhoff, H. V. (2019). Neural plasticity and adult neurogenesis: the deep biology perspective. Neural Regeneration Research, 14(2), 201-205. https://doi.org/10.4103/1673-5374.244775[details]
Damiani, C., Maspero, D., Di Filippo, M., Colombo, R., Pescini, D., Graudenzi, A., Westerhoff, H. V., Alberghina, L., Vanoni, M., & Mauri, G. (2019). Integration of single-cell RNA-seq data into population models to characterize cancer metabolism. PLoS Computational Biology, 15(2), [e1006733]. https://doi.org/10.1371/journal.pcbi.1006733[details]
Hassan, Z., Sultana, M., Khan, S. I., Braster, M., Röling, W. F. M., & Westerhoff, H. V. (2019). Ample Arsenite Bio-Oxidation Activity in Bangladesh Drinking Water Wells: A Bonanza for Bioremediation? Microorganisms, 7(8), [246]. https://doi.org/10.3390/microorganisms7080246[details]
Maeda, K., Westerhoff, H. V., Kurata, H., & Boogerd, F. C. (2019). Ranking network mechanisms by how they fit diverse experiments and deciding on E. coli's ammonium transport and assimilation network. Npj Systems Biology and Applications, 5, [14]. https://doi.org/10.1038/s41540-019-0091-6[details]
Abudukelimu, A., Barberis, M., Redegeld, F. A., Sahin, N., & Westerhoff, H. V. (2018). Predictable Irreversible Switching Between Acute and Chronic Inflammation. Frontiers in Immunology, 9, [1596]. https://doi.org/10.3389/fimmu.2018.01596[details]
Swainston, N., Baici, A., Bakker, B. M., Cornish-Bowden, A., Fitzpatrick, P. F., Halling, P., ... Kettner, C. (2018). STRENDA DB: enabling the validation and sharing of enzyme kinetics data. The FEBS Journal, 285(12), 2193-2204. https://doi.org/10.1111/febs.14427[details]
Węglarz-Tomczak, E., Talma, M., Giurg, M., Westerhoff, H. V., Janowski, R., & Mucha, A. (2018). Neutral metalloaminopeptidases APN and MetAP2 as newly discovered anticancer molecular targets of actinomycin D and its simple analogs. Oncotarget, 9(50), 29365-29378. https://doi.org/10.18632/oncotarget.25532[details]
Abudukelimu, A., Mondeel, T. D. G. A., Barberis, M., & Westerhoff, H. V. (2017). Learning to read and write in evolution: from static pseudoenzymes and pseudosignalers to dynamic gear shifters. Biochemical Society Transactions, 45(3), 635-652. https://doi.org/10.1042/BST20160281[details]
Damiani, C., Colombo, R., Gaglio, D., Mastroianni, F., Pescini, D., Westerhoff, H. W., ... Alberghina, L. (2017). A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect. PLoS Computational Biology, 13(9), [e1005758]. https://doi.org/10.1371/journal.pcbi.1005758[details]
Haanstra, J. R., Gerding, A., Dolga, A. M., Sorgdrager, F. J. H., Buist-Homan, M., du Toit, F., ... Bakker, B. M. (2017). Targeting pathogen metabolism without collateral damage to the host. Scientific Reports, 7, [40406]. https://doi.org/10.1038/srep40406[details]
Zhang, Y., Kouril, T., Snoep, J. L., Siebers, B., Barberis, M., & Westerhoff, H. V. (2017). The Peculiar Glycolytic Pathway in Hyperthermophylic Archaea: Understanding Its Whims by Experimentation In Silico. International Journal of Molecular Sciences, 18(4), [876]. https://doi.org/10.3390/ijms18040876[details]
van de Peppel, J., Strini, T., Tilburg, J., Westerhoff, H., van Wijnen, A. J., & van Leeuwen, J. P. (2017). Identification of Three Early Phases of Cell-Fate Determination during Osteogenic and Adipogenic Differentiation by Transcription Factor Dynamics. Stem Cell Reports, 8(4), 947-960. https://doi.org/10.1016/j.stemcr.2017.02.018[details]
Dols, J. A. M., Molenaar, D., van der Helm, J. J., Caspers, M. P. M., de Kat Angelino-Bart, A., Schuren, F. H. J., Speksnijder, A. G. C. L., Westerhoff, H. V., Richardus, J. H., Boon, M. E., Reid, G., de Vries, H. J. C., & Kort, R. (2016). Molecular assessment of bacterial vaginosis by Lactobacillus abundance and species diversity. BMC Infectious Diseases, 16, [180]. https://doi.org/10.1186/s12879-016-1513-3[details]
He, F., Murabito, E., & Westerhoff, H. V. (2016). Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering. Journal of the Royal Society Interface, 13(117), [1046]. https://doi.org/10.1098/rsif.2015.1046[details]
Wu, H., von Kamp, A., Leoncikas, V., Mori, W., Sahin, N., Gevorgyan, A., ... Kierzek, A. M. (2016). MUFINS: multi-formalism interaction network simulator. Npj Systems Biology and Applications, 2, [16032]. https://doi.org/10.1038/npjsba.2016.32[details]
Lankelma, J., Kooi, B., Krab, K., Dorsman, J. C., Joenje, H., & Westerhoff, H. V. (2015). A reason for intermittent fasting to suppress the awakening of dormant breast tumors. Biosystems, 127, 1-6. https://doi.org/10.1016/j.biosystems.2014.11.001[details]
Rybakova, K. N., Bruggeman, F. J., Tomaszewska, A., Moné, M. J., Carlberg, C., & Westerhoff, H. V. (2015). Multiplex Eukaryotic Transcription (In)activation: Timing, Bursting and Cycling of a Ratchet Clock Mechanism. PLoS Computational Biology, 11(4), e1004236. https://doi.org/10.1371/journal.pcbi.1004236[details]
Rybakova, K. N., Tomaszewska, A., van Mourik, S., Blom, J., Westerhoff, H. V., Carlberg, C., & Bruggeman, F. J. (2015). Tracing the molecular basis of transcriptional dynamics in noisy data by using an experiment-based mathematical model. Nucleic Acids Research, 43(1), 153-161. https://doi.org/10.1093/nar/gku1272[details]
Sellick, C. A., Croxford, A. S., Maqsood, A. R., Stephens, G. M., Westerhoff, H. V., Goodacre, R., & Dickson, A. J. (2015). Metabolite profiling of CHO cells: Molecular reflections of bioprocessing effectiveness. Biotechnology Journal, 10(9), 1434-1445. https://doi.org/10.1002/biot.201400664[details]
Snoep, J. L., Green, K., Eicher, J., Palm, D. C., Penkler, G., du Toit, F., ... van Niekerk, D. D. (2015). Quantitative analysis of drug effects at the whole-body level: a case study for glucose metabolism in malaria patients. Biochemical Society Transactions, 43(6), 1157-1163. https://doi.org/10.1042/BST20150145[details]
Westerhoff, H. V., Nakayama, S., Mondeel, T. D. G. A., & Barberis, M. (2015). Systems Pharmacology: An opinion on how to turn the impossible into grand challenges. Drug Discovery Today. Technologies, 15, 23-31. https://doi.org/10.1016/j.ddtec.2015.06.006[details]
Wruck, W., Kashofer, K., Rehman, S., Daskalaki, A., Berg, D., Gralka, E., Jozefczuk, J., Drews, K., Pandey, V., Regenbrecht, C., Wierling, C., Turano, P., Korf, U., Zatloukal, K., Lehrach, H., Westerhoff, H. V., & Adjaye, J. (2015). Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes. Scientific Data, 2, [150068]. https://doi.org/10.1038/sdata.2015.68[details]
Härdin, H. M., Zagaris, A., Willms, A. R., & Westerhoff, H. V. (2014). Clusters of reaction rates and concentrations in protein networks such as the phosphotransferase system. The FEBS Journal, 281(2), 531-548. https://doi.org/10.1111/febs.12664[details]
Murabito, E., Verma, M., Bekker, M., Bellomo, D., Westerhoff, H. V., Teusink, B., & Steuer, R. (2014). Monte-Carlo modeling of the central carbon metabolism of Lactococcus lactis: insights into metabolic regulation. PLoS ONE, 9(9), [e106453]. https://doi.org/10.1371/journal.pone.0106453[details]
Ramírez-Bajo, M. J., de Atauri, P., Ortega, F., Westerhoff, H. V., Gelpí, J. L., Centelles, J. J., & Cascante, M. (2014). Effects of cadmium and mercury on the upper part of skeletal muscle glycolysis in mice. PLoS ONE, 9(1), [e80018]. https://doi.org/10.1371/journal.pone.0080018[details]
Westerhoff, H. V., Brooks, A. N., Simeonidis, E., García-Contreras, R., He, F., Boogerd, F. C., ... Kolodkin, A. (2014). Macromolecular networks and intelligence in microorganisms. Frontiers in Microbiology, 5, [379]. https://doi.org/10.3389/fmicb.2014.00379[details]
Feldman-Salit, A., Hering, S., Messiha, H. L., Veith, N., Cojocaru, V., Sieg, A., ... Fiedler, T. (2013). Regulation of the activity of lactate dehydrogenases from four lactic acid bacteria. The Journal of Biological Chemistry, 288(29), 21295-21306. https://doi.org/10.1074/jbc.M113.458265[details]
Geenen, S., Yates, J. W. T., Kenna, J. G., Bois, F. Y., Wilson, I. D., & Westerhoff, H. V. (2013). Multiscale modelling approach combining a kinetic model of glutathione metabolism with PBPK models of paracetamol and the potential glutathione-depletion biomarkers ophthalmic acid and 5-oxoproline in humans and rats. Integrative Biology, 5(6), 877-888. https://doi.org/10.1039/c3ib20245c[details]
Geenen, S., du Preez, F. B., Snoep, J. L., Foster, A. J., Sarda, S., Kenna, J. G., ... Westerhoff, H. V. (2013). Glutathione metabolism modeling: a mechanism for liver drug-robustness and a new biomarker strategy. Biochimica et Biophysica Acta G General Subjects, 1830(10), 4943-59. https://doi.org/10.1016/j.bbagen.2013.04.014[details]
He, F., Fromion, V., & Westerhoff, H. V. (2013). (Im)Perfect robustness and adaptation of metabolic networks subject to metabolic and gene-expression regulation: marrying control engineering with metabolic control analysis. BMC Systems Biology, 7, [131]. https://doi.org/10.1186/1752-0509-7-131[details]
Kolodkin, A., Sahin, N., Phillips, A., Hood, S. R., Bruggeman, F. J., Westerhoff, H. V., & Plant, N. (2013). Optimization of stress response through the nuclear receptor-mediated cortisol signalling network. Nature Communications, 4, 1792. https://doi.org/10.1038/ncomms2799[details]
Kolodkin, A., Simeonidis, E., & Westerhoff, H. V. (2013). Computing life: add logos to biology and bios to physics. Progress in Biophysics & Molecular Biology, 111(2-3), 69-74. https://doi.org/10.1016/j.pbiomolbio.2012.10.003[details]
Kouril, T., Esser, D., Kort, J., Westerhoff, H. V., Siebers, B., & Snoep, J. L. (2013). Intermediate instability at high temperature leads to low pathway efficiency for an in vitro reconstituted system of gluconeogenesis in Sulfolobus solfataricus. The FEBS Journal, 280(18), 4666-4680. https://doi.org/10.1111/febs.12438[details]
Mensonides, F. I., Bakker, B. M., Cremazy, F., Messiha, H. L., Mendes, P., Boogerd, F. C., & Westerhoff, H. V. (2013). A new regulatory principle for in vivo biochemistry: pleiotropic low affinity regulation by the adenine nucleotides--illustrated for the glycolytic enzymes of Saccharomyces cerevisiae. FEBS Letters, 587(17), 2860-2867. https://doi.org/10.1016/j.febslet.2013.07.013[details]
Quinton-Tulloch, M. J., Bruggeman, F. J., Snoep, J. L., & Westerhoff, H. V. (2013). Trade-off of dynamic fragility but not of robustness in metabolic pathways in silico. The FEBS Journal, 280(1), 160-173. https://doi.org/10.1111/febs.12057[details]
Smallbone, K., Messiha, H. L., Carroll, K. M., Winder, C. L., Malys, N., Dunn, W. B., ... Mendes, P. (2013). A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes. FEBS Letters, 587(17), 2832-2841. https://doi.org/10.1016/j.febslet.2013.06.043[details]
Thiele, I., Swainston, N., Fleming, R. M. T., Hoppe, A., Sahoo, S., Aurich, M. K., ... Palsson, B. Ø. (2013). A community-driven global reconstruction of human metabolism. Nature Biotechnology, 31(5), 419-25. https://doi.org/10.1038/nbt.2488[details]
Verma, M., Karimiani, E. G., Byers, R. J., Rehman, S., Westerhoff, H. V., & Day, P. J. (2013). 555 mediated BCR.ABL protein regulation in chronic myeloid leukaemia vis-a-vis therapeutic strategies. Integrative Biology, 5(3), 543-554. https://doi.org/10.1039/c3ib20230e[details]
Verma, M., Zakhartsev, M., Reuss, M., & Westerhoff, H. V. (2013). 'Domino' systems biology and the 'A' of ATP. Biochimica et Biophysica Acta - Bioenergetics, 1827(1), 19-29. https://doi.org/10.1016/j.bbabio.2012.09.014[details]
van Heeswijk, W. C., Westerhoff, H. V., & Boogerd, F. C. (2013). Nitrogen Assimilation in Escherichia coli: Putting Molecular Data into a Systems Perspective. Microbiology and Molecular Biology Reviews, 77(4), 628-695. https://doi.org/10.1128/MMBR.00025-13[details]
2012
Adamczyk, M., & Westerhoff, H. V. (2012). Engineering of self-sustaining systems: substituting the yeast glucose transporter plus hexokinase for the Lactococcus lactis phosphotransferase system in a Lactococcus lactis network in silico. Biotechnology Journal, 7(7), 877-883. https://doi.org/10.1002/biot.201100314[details]
García-Contreras, R., Vos, P., Westerhoff, H. V., & Boogerd, F. C. (2012). Why in vivo may not equal in vitro - new effectors revealed by measurement of enzymatic activities under the same in vivo-like assay conditions. The FEBS Journal, 279(22), 4145-4159. https://doi.org/10.1111/febs.12007[details]
Geenen, S., Taylor, P. N., Snoep, J. L., Wilson, I. D., Kenna, J. G., & Westerhoff, H. V. (2012). Systems biology tools for toxicology. Archives of toxicology = Archiv für Toxikologie, 86(8), 1251-1271. https://doi.org/10.1007/s00204-012-0857-8[details]
Jozefczuk, J., Kashofer, K., Ummanni, R., Henjes, F., Rehman, S., Geenen, S., ... Adjaye, J. (2012). A systems biology approach to deciphering the etiology of steatosis employing patient-derived dermal fibroblasts and iPS cells. Frontiers in Physiology, 3, 339. https://doi.org/10.3389/fphys.2012.00339[details]
Kolodkin, A., Simeonidis, E., Balling, R., & Westerhoff, H. V. (2012). Understanding complexity in neurodegenerative diseases: in silico reconstruction of emergence. Frontiers in Physiology, 3, 291. https://doi.org/10.3389/fphys.2012.00291[details]
Rehman, S., Day, P. J. R., Bayat, A., & Westerhoff, H. V. (2012). Understanding Dupuytren's disease using systems biology: a move away from reductionism. Frontiers in Physiology, 3, 316. https://doi.org/10.3389/fphys.2012.00316[details]
van Eunen, K., Kiewiet, J. A. L., Westerhoff, H. V., & Bakker, B. M. (2012). Testing biochemistry revisited: how in vivo metabolism can be understood from in vitro enzyme kinetics. PLoS Computational Biology, 8(4), e1002483. https://doi.org/10.1371/journal.pcbi.1002483[details]
Geenen, S., du Preez, F. B., Reed, M., Nijhout, H. F., Kenna, J. G., Wilson, I. D., ... Snoep, J. L. (2011). A mathematical modelling approach to assessing the reliability of biomarkers of glutathione metabolism. European Journal of Pharmaceutical Sciences, 46(4), 233-243. https://doi.org/10.1016/j.ejps.2011.08.017[details]
Sellick, C. A., Croxford, A. S., Maqsood, A. R., Stephens, G., Westerhoff, H. V., Goodacre, R., & Dickson, A. J. (2011). Metabolite profiling of recombinant CHO cells: designing tailored feeding regimes that enhance recombinant antibody production. Biotechnology and Bioengineering, 108(12), 3025-3031. https://doi.org/10.1002/bit.23269[details]
2010
van Eunen, K., Bouwman, J., Daran-Lapujade, P., Postmus, J., Canelas, A. B., Mensonides, F. I. C., ... Bakker, B. M. (2010). Measuring enzyme activities under standardized in vivo-like conditions for systems biology. The FEBS Journal, 277(3), 749-760. https://doi.org/10.1111/j.1742-4658.2009.07524.x[details]
2009
Härdin, H. M., Zagaris, A., Krab, K., & Westerhoff, H. V. (2009). Simplified yet highly accurate enzyme kinetics for cases of low substrate concentrations. The FEBS Journal, 276(19), 5491-5506. https://doi.org/10.1111/j.1742-4658.2009.07233.x[details]
2015
Bastiaens, P., Birtwistle, M. R., Blüthgen, N., Bruggeman, F. J., Cho, K. H., Cosentino, C., de la Fuente, A., Hoek, J. B., Kiyatkin, A., Klamt, S., Kolch, W., Legewie, S., Mendes, P., Naka, T., Santra, T., Sontag, E., Westerhoff, H. V., & Kholodenko, B. N. (2015). Silence on the relevant literature and errors in implementation. Nature Biotechnology, 33(4), 336-339. https://doi.org/10.1038/nbt.3185[details]
2017
Kempe, H. (2017). Understanding gene expression variability in its biological context using theoretical and experimental analyses of single cells. [details]
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