7.81J Systems Biology (Fall 2014, MIT OCW): Lecture 10

7.81J Systems Biology

7.81J Systems Biology (Fall 2014, MIT OCW). Instructor: Professor Jeff Gore. This course provides an introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics. Cellular systems include genetic switches and oscillators, network motifs, genetic network evolution, and cellular decision-making. Population-level systems include models of pattern formation, cell-cell communication, and evolutionary systems biology. (from ocw.mit.edu)

Lecture 10 - Stochastic Modeling

In this lecture, Prof. Jeff Gore discusses modeling stochastic systems. The discussion of the master equation continues from last lecture. Then he talks about the Gillespie algorithm, an exact way to simulate stochastic systems. He then moves on to the Fokker-Planck equation.

Go to the Course Home or watch other lectures:

Lecture 01 - Introduction to the Class and Overview of Topics

Lecture 02 - Input Function, Michaelis-Menten kinetics, and Cooperativity

Lecture 03 - Autoregulation, Feedback and Bistability

Lecture 04 - Synthetic Biology and Stability Analysis in the Toggle Switch

Lecture 05 - Oscillatory Genetic Networks

Lecture 06 - Graph Properties of Transcription Networks

Lecture 07 - Feed-forward Loop Network Motif

Lecture 08 - Introduction to Stochastic Gene Expression

Lecture 09 - Causes and Consequences of Stochastic Gene Expression

Lecture 10 - Stochastic Modeling

Lecture 11 - Life at Low Reynolds Number