drenm_lec6

Drenm_lec6 - MIT 20.181 Module 3 Class 6 notes(DRAFT 11 December 2006 Exact Methods for Computing Biological System Dynamics Drew

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MIT 20.181 Module 3 Class 6 notes (DRAFT) 11 December 2006 Exact Methods for Computing Biological System Dynamics Drew Endy ( http://mit.edu/endy/ ) Goals Covered Last Time I. How is reaction time updated w/o resampling? J. Back to the biology! What is this stuff good for? [Genetic Memory] Goals for Today K. Discuss dynamics of ±simple² system from HW10 L. Review of key concepts from this module 74. How else could we store state inside cells? In the above latch we are storing state via the levels of proteins. Is this the best way to go? How else could we store state? One idea is to write to DNA. For example, there are enzymes that let you switch the orientation of DNA. These enzymes are called invertases. (could also consider us- ing phage integrases). 75. What do we expect this system to do? Oscillate.
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MIT 20.181 Module 3 Class 6 notes (DRAFT) 11 December 2006 76. Why? Consider how the reaction probabilities change as a function of varying numbers of the reactants . Below is a plot of everything collapsed onto one independ-
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This note was uploaded on 11/11/2011 for the course BIO 20.010j taught by Professor Lindagriffith during the Spring '06 term at MIT.

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Drenm_lec6 - MIT 20.181 Module 3 Class 6 notes(DRAFT 11 December 2006 Exact Methods for Computing Biological System Dynamics Drew

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