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