Cellular and Molecular Computation

Image showing organic matter on a structured field.

Fusion of computer chip with embedded neural network. (Image courtesy of Seung Laboratory, MIT Department of Brain and Cognitive Sciences.)

Instructor(s)

MIT Course Number

9.530

As Taught In

Spring 2000

Level

Graduate

Cite This Course

Course Highlights

This course is devoted to mathematical tools for analyzing and engineering the dynamical behaviors of such biochemical networks.

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 metabolic and genetic engineering.

Seung, Sebastian. 9.530 Cellular and Molecular Computation, Spring 2000. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-530-cellular-and-molecular-computation-spring-2000 (Accessed). License: Creative Commons BY-NC-SA


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