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Lecture 9 Web: pollev.com/ucibio Text: To: 37607

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Presentation on theme: "Lecture 9 Web: pollev.com/ucibio Text: To: 37607"— Presentation transcript:

1 Lecture 9 Web: pollev.com/ucibio Text: To: 37607
Type in: <your question>

2 MS-MS to sequence proteins

3 Random fragmentation A-B-C-D A-B-C-D A-B-C-D A-B-C-D A- B-C-D A-B- C-D
Signal intensity m/z A-B-C A-B-C- A-B- A A-B-C-D A-B-C-D

4 MS Example

5 Using MS to generate a “proteome”
Copyright  2013 Pearson Canada Inc.

6 Using MS to generate a “proteome”
Copyright  2013 Pearson Canada Inc.

7 So, enzymes have active sites.
Looked at enzyme structure = function Do we need to also study “kinetics?”

8 Simplifying kinetics Initial rate = [P] ≈ 0 Practically 100% ES  P
At GIVEN [E], rate ∝ on [S]

9 Measuring Initial Velocity at different [S]

10 Michaelis-Menten kinetics: A model
Makes several assumptions: 1. Non-equilibrium (Vo) 2. At given [E] 3. [S] ≫ [E] 4. At steady state: ES formation=ES breakdown

11 Determining Km V 0 = V Max [S] S + K m S + K m = V Max [S] V 0
S + K m = V Max [S] 0.5 V Max S + K m = 2[S] K m = [S] when V o = ½ V Max

12 The Michaelis-Menten kinetics graph

13 How to estimate VMax? y = mx + c

14 The Lineweaver-Burk plot

15 The turnover number (k2 or kcat)
Turnover number = number of S molecules  P per second


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