9.530 Cellular and Molecular Computation

As taught in: Spring 2000

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.)

Level:

Graduate

Instructors:

Prof. Sebastian Seung

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.