So I skimmed through the Uri All.on Systems Bio. Summary: 1. Control theory, but for bio! 2. Modularity evolves to give optionality at the cost of optimality 3. We can predict very accurately evolution from first principles (e.g. in a medium of x concentration of lactose,
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how much of X protein will be made by a bacteria? You can calculate cost/benefit curves through various measurements, fit a model, and optimize. Reality matches the model very well. 4. Cellular transcription networks have to make the trade-off between responding fast or being
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Robust to noise, just the same thing when one designs PID controllers. 5. These networks can represent many kinds of functions: AND, OR, oscillators, delays, 'capacitors' etc
08:49 - 1. velj 2020.
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