Difference between revisions of "CDS 270-4, 2010: Bio-Control"
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| 27 April (T)
| 27 April (T)
| Definitions and basic theorems
| Definitions and basic theorems [http://www.cds.caltech.edu/~elisa/CDS270-4-2010/CDS270-4-2010-Week5-1.pdf Slides]
Revision as of 22:20, 29 April 2010
NOTE: The Friday lectures will include discussing a paper related to the week topic. Papers will be announced about a week prior to the discussion.
Course Objectives: Biology and Control Theory
Feedback loops, which are ubiquitous in engineered systems, play a fundamental role in most biological processes. The survival of any organism strictly depends on its ability to sense and react to changes in its environment. Like electrical and mechanical control systems, cells have the molecular gear necessary to sense, compute and actuate. What are the theoretical and experimental tools available to understand the regulatory circuitry in biochemical systems? This course will provide students with an organized overview of research work between control theory and molecular biology.
The first part of the class will be dedicated to modeling, identification and control-theoretic methods for the analysis of biological networks, following a systems biology perspective. The second part of the class will instead focus on design principles, and the challenges related to constructing biological pathways. Can we build modular and robust networks satisfying performance specifications? This fascinating field offers a wide range of challenging open questions, which the students will be encouraged to critically discuss.
This course is a special topics course in which the lecture material has been prepared by a senior graduate student. The class is P/F only and there is no required homework and no midterm or final exam. Students will be required to work on an individual or team course project.
Project proposals are due at 5pm on the last day of the Midterm examination period (May 4) and are due by 5pm on the last day of the final examination period (June 7). Project theme: select a cellular regulatory mechanism, define a list of important features of the system, come up with a modeling framework and carry out an analysis of its properties (e.g. stability, robustness, modularity...).