Tantárgy adatlapja
Mathematical modelling techniques to simulate experiments in biological systems. Modelling and experimental techniques and how one cam move between them will be highlighted. Key topics include:
Oscillators: cell cycle, circadian clock, repressillator
Biological switches: differentiation, apoptosis
Adaptation: chemotaxis
Whole cell modelling
Selected literature:
Klipp, E., Liebermeister, W., Wierling, C., & Kowald, A. (2016). Systems biology: a textbook. John Wiley & Sons. Ingalls, B. P. (2013). Mathematical modeling in systems biology: an introduction. MIT press. Elowitz, M. B., & Leibler, S. (2000). A synthetic oscillatory network of transcriptional regulators. Nature, 403(6767), 335-338. Tyson, J. J., Chen, K. C., & Novak, B. (2003). Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. Current opinion in cell biology, 15(2), 221-231. Karr, J. R., Sanghvi, J. C., Macklin, D. N., Gutschow, M. V., Jacobs, J. M., Bolival Jr, B., ... & Covert, M. W. (2012). A whole-cell computational model predicts phenotype from genotype. Cell, 150(2), 389-401. Required professional competences:
lass="MsoNormal" style="font-family:Calibri;margin-left:0px;text-align:left;">The PhD students will learn to interpret experimental results and design mathematical models to simulate them. They will also understand how to design experiment, which can lead to results contributing to model development.
