This course is an introduction to dynamical systems, aimed at a quantitative understanding of the biochemical kinetics that underlies cell biology.  Background required is Chm 241 or equivalent basic physical chemistry and basic mathematics through calculus.  We will start with the dynamics of the simplest chemical reactions: dimerization and the Michaelis-Menten enzyme mechanism.  We will cover thermodynamic cycles and regulation, multi-component and multi-time-scale kinetics through matrix and eigenvalue methods; robustness and adaptation; limit cycles; stability; and oscillating systems, such as those involved in the cell cycle and circadian rhythms.  We will cover the dynamics coupled with spatial diffusion that leads to biological pattern formation, and the small numbers problem - that cells often have only a few copies of certain molecules, and therefore their fluctuations are large.

 

March 31  Introduction. What do we mean by complex systems?  Elementary kinetics. {KD/CV}

April 7  Dimensional analysis, time scales, model building, limit behavior.  Examples: How Flipper Swims, simple kinetic models, steady-state assumptions, Shea-Ackers model of promoter states. {CV}

April 14  How sets of differential equations behave, Linear equations, eigenvalues, stability analysis, null clines, phase space. Examples: Genetic circuits, autoregulation, ultrasensitive switches.  {CV}

April 21  Regulation, control of energy flow. How binding alters the rates of biochemical cycles. Biological driving forces: ATP, and gradients  {KD}

April 28  Bifurcation analysis, bistability, continuation methods. Examples: cell-fate switch, lac operon, cross repression, positive feedback.    {CV}

May 5  Robustness and Adaptation. Bacterial chemotaxis. Homeostasis   {HL}

May 12 Robustness and Adaptation. Control theory, derivative and integral feedbacks   {HL}

May 19  Oscillators. Damping. Ca2+, circadian rhythm, repressilator, cell cycle. {HL}

May 26 Spatial Patterns. Diffusion, Smoluchowski equations. Patterning in fly embryos. {HL}

June 2  Stochasticity.  Fluctuations of molecule numbers in the cell. Gillespie algorithm. Single molecule experiments. Principle of Maximum Caliber.     {KD}