Sarah Carratt: Week 4: Difference between revisions
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==Instructions== | ==Instructions== | ||
=== Terminology === | |||
* Explain the following terms in your own words. | |||
# The Michaelis-Menten model of enzyme kinetics. | |||
# The experiment required for the Lineweaver-Burk approach to estimating parameters for Michealis-Menten. | |||
# Chemostat reactor. | |||
# Exponential growth. | |||
=== Applying Michealis-Menten Models === | |||
* Consider a single substrate being converted to product. | |||
''E'' + ''S'' ↔ ''ES'' → ''E'' + ''P'' | |||
with an initial substrate concentration of 1.0 and an initial enzyme concentration of 0.05. Use the Michaelis-Menten matlab model to explore the following. | |||
# Set k<sub>1</sub> = 2.0, k<sub>-1</sub> = 0.0. Plot the substrate dynamics for k<sub>2</sub> = 1.0, k<sub>2</sub> = 2.0, k<sub>2</sub> = 5.0, k<sub>2</sub> = 10.0 all on the same graph to see the effect of this parameter. | |||
# Set k<sub>1</sub> = 2.0, k<sub>-1</sub> = 1.0. Plot the substrate dynamics for k<sub>2</sub> = 1.0, k<sub>2</sub> = 2.0, k<sub>2</sub> = 5.0, k<sub>2</sub> = 10.0 all on the same graph to see the effect of this parameter. | |||
# Set k<sub>1</sub> = 2.0, k<sub>-1</sub> = 5.0. Plot the substrate dynamics for k<sub>2</sub> = 1.0, k<sub>2</sub> = 2.0, k<sub>2</sub> = 5.0, k<sub>2</sub> = 10.0 all on the same graph to see the effect of this parameter. | |||
You may use the matlab code provided at [https://lionshare.lmu.edu/xythoswfs/webview/fileManager.action?x=y&shareLogin=false&stk=7B20EDA3576916A my lionshare folder]. | |||
=== Estimating Michaelis-Menten Parameters === | |||
* Consider the following data: | |||
[S] = 11.0, 16.7, 20.0, 25.0, 33.3, 50.0 | |||
V = 0.00952, 0.01111, 0.01282, 0.01515, 0.01852, 0.02128 | |||
Apply the Lineweaver-Burk technique to determine Vmax and K. | |||
== Online Sources == | == Online Sources == | ||
Revision as of 20:17, 3 February 2011
Instructions
Terminology
- Explain the following terms in your own words.
- The Michaelis-Menten model of enzyme kinetics.
- The experiment required for the Lineweaver-Burk approach to estimating parameters for Michealis-Menten.
- Chemostat reactor.
- Exponential growth.
Applying Michealis-Menten Models
- Consider a single substrate being converted to product.
E + S ↔ ES → E + P with an initial substrate concentration of 1.0 and an initial enzyme concentration of 0.05. Use the Michaelis-Menten matlab model to explore the following.
- Set k1 = 2.0, k-1 = 0.0. Plot the substrate dynamics for k2 = 1.0, k2 = 2.0, k2 = 5.0, k2 = 10.0 all on the same graph to see the effect of this parameter.
- Set k1 = 2.0, k-1 = 1.0. Plot the substrate dynamics for k2 = 1.0, k2 = 2.0, k2 = 5.0, k2 = 10.0 all on the same graph to see the effect of this parameter.
- Set k1 = 2.0, k-1 = 5.0. Plot the substrate dynamics for k2 = 1.0, k2 = 2.0, k2 = 5.0, k2 = 10.0 all on the same graph to see the effect of this parameter.
You may use the matlab code provided at my lionshare folder.
Estimating Michaelis-Menten Parameters
- Consider the following data:
[S] = 11.0, 16.7, 20.0, 25.0, 33.3, 50.0
V = 0.00952, 0.01111, 0.01282, 0.01515, 0.01852, 0.02128
Apply the Lineweaver-Burk technique to determine Vmax and K.
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