Course Description
Life as an emergent property of networks of chemical reactions involving proteins and nucleic acids. Mathematical theories of metabolism, gene regulation, signal transduction, chemotaxis, excitability, motility, mitosis, development, and immunity. Applications to directed molecular evolution, DNA computing, and …
Life as an emergent property of networks of chemical reactions involving proteins and nucleic acids. Mathematical theories of metabolism, gene regulation, signal transduction, chemotaxis, excitability, motility, mitosis, development, and immunity. Applications to directed molecular evolution, DNA computing, and metabolic and genetic engineering.
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![Image showing organic matter on a structured field.](/courses/9-530-cellular-and-molecular-computation-spring-2000/439b9e6603c122d6d14e25d3cc3a7304_9-530s00.jpg)
Fusion of computer chip with embedded neural network. (Image courtesy of Seung Laboratory, MIT Department of Brain and Cognitive Sciences.)