Articles dans des revues avec comité de lecture (96)
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Amribt, Z., Dewasme, L., Vande Wouwer, A., & Bogaerts, P. (2014). Optimization and robustness analysis of hybridoma cell fed-batch cultures using the overflow metabolism model. Bioprocess and biosystems engineering, 37, DOI 10.1007/s00449-014-1136-2, 1637-1652. doi:10.1007/s00449-014-1136-234.
Niu, H., Amribt, Z., Fickers, P., Tan, W., & Bogaerts, P. (2013). Metabolic pathway analysis and reduction for mammalian cell cultures-Towards macroscopic modeling. Chemical engineering science, 102, 461-473. doi:10.1016/j.ces.2013.07.03435.
Dewasme, L., Vande Wouwer, A., Amribt, Z., Bogaerts, P., Santos, L. L., & Hantson, A. L. (2013). Hybridoma cell culture optimization using nonlinear model predictive control. IFAC proceedings volumes, 12(PART 1), 60-65. doi:10.3182/20131216-3-IN-2044.0004538.
Niu, H., Daukandt, M., Rodriguez, C., Fickers, P., & Bogaerts, P. (2013). Dynamic modeling of methylotrophic Pichia pastoris culture with exhaust gas analysis: from cellular metabolism to process simulation. Chemical engineering science, 87, 381-392.40.
Dewasme, L., Richelle, A., Dehottay, P., Georges, P., Remy, M., Bogaerts, P., & Vande Wouwer, A. (2010). Linear robust control of S. cerevisiae fed-batch cultures at different scales. Biochemical engineering journal, 53(1), 26-37. doi:10.1016/j.bej.2009.10.00143.
Dehouck, Y., Grosfils, A., Folch, B., Gilis, D., Bogaerts, P., & Rooman, M. (2009). Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks: PoPMuSiC-2.0. Bioinformatics, 25(19), 2537-2543. doi:10.1093/bioinformatics/btp445