| 1 |
Introduction and Overview. The Problem of Understanding Nonlinearity and Feedback in Biological Networks. |
| 2 |
DNA Computing and Self-Assembly. |
| 3 |
Enzyme Kinetics. Michaelis-Menten Theory. Cooperative Behavior. |
| 4 |
Metabolic Control Analysis. |
| 5 |
General Formalism for Chemical Reaction Networks. Metabolic Flux Analysis. |
| 6 |
Student Presentations. Theory of Chemical Computation. |
| 7 |
Overview of Transcriptional Regulation. Lambda Phage. |
| 8 |
Models of Bistability in Chemical Reaction Networks. |
| 9 |
Demo of Bard Ermentrout's XPP. Chemical Reaction Networks Versus Neural Networks. Global Stability of Symmetric Networks. |
| 10 |
Student Presentations. Synthetic Genetic Networks. |
| 11 |
Oscillations in an Activator-Inhibitor System. Phase Plane Analysis. |
| 12 |
Hodgkin-Huxley Model of the Action Potential. |
| 13 |
Spike Frequency Adaptation and Negative Feedback Linearization. |
| 14 |
Phototransduction. |
| 15 |
Chemotaxis. |
| 16 |
Long-Term Potentiation. |
| 17 |
Circadian Rhythms. |
| 18 |
Stochastic Models of Lambda Phage. |
| 19 |
Molecular Motors. |
| 20 |
Development. |
| 21 |
Cell Cycle. |
| 22 |
Pattern Formation and Slime Molds. |
| 23 |
Cell Sorting. |
| 24 |
Immunity. |
| 25 |
Final Project Presentations. |
