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. |