Exam 2 Lecture 6

Enzyme Kinetics and Michaelis-Menten Model

Overview of Reaction Rates

  • Reaction Rate Changes with Substrate Concentration.

    • At high substrate concentrations, the reaction rate increases.

    • This condition is characterized as saturating conditions.

  • In saturating conditions:

    • All enzyme is bound as enzyme-substrate complex (ES).

    • Reaction rate does not depend on substrate concentration anymore; it becomes zero order with respect to substrate concentration.

Concepts and Definitions

  • Zero Order Reaction:

    • The reaction rate is constant and does not depend on the substrate concentration.

    • All enzyme active sites are occupied.

    • As substrate is converted into product, new substrate binds immediately.

Course Announcements

  • Discuss Chapter 7 in class today.

  • Upcoming quiz in discussion, either today or tomorrow.

  • Discussion worksheet consists of two parts:

    • Part 1: Michaelis-Menten kinetics (to be covered today).

    • Part 2: Reversible inhibition (to be covered Wednesday).

  • Deadline for the worksheet is extended to Friday.

  • A short problem set is also due on Friday night.

Michaelis-Menten Kinetics

  • Recent learning focuses on the Michaelis-Menten model for enzyme kinetics:

    • Involves the enzyme binding a substrate, converting it to product, and releasing the product.

    • Important to focus on initial rates and product concentration being low to ignore product concentration in kinetics.

Kinetic Scheme
  • The simplified kinetic scheme:

    • Enzyme (E) + Substrate (S) ⇌ Enzyme-Substrate complex (ES) → Product (P) + Free Enzyme (E)

Reaction Rate Expression
  • The reaction rate (V0V_0) is dependent on:

    • Substrate concentration

    • Two constants:

    • Vmax: Defines the asymptote of the reaction rate as substrate concentration increases.

    • Km (Michaelis constant): Defines the curvature in the hyperbola of the graph of reaction rate vs. substrate concentration.

  • Primary focus is to derive an expression relating the reaction rate to total enzyme concentration ([E]ₒ) and total substrate concentration ([S]).

Deriving First Order Rate Equation
  • For product formation (V0V_0), we express it in terms of the enzyme-substrate complex concentration ([ES]):

    • V<em>0=k</em>2[ES]V<em>0 = k</em>2[ES]

Steady State Assumption
  • This assumption states that the concentration of the enzyme-substrate complex remains constant throughout the reaction.

    • Mathematically, this means:

    • racd[ES]dt=0rac{d[ES]}{dt} = 0

    • Rate formation of ES equals rate of disappearance of ES:

    • Formation: k1[E][S]k_1[E][S]

    • Disappearance: (k<em>−1+k</em>2)[ES](k<em>{-1} + k</em>2)[ES]

Analyzing Concentrations Over Time
  • Concentrations of substrate ([S]), product ([P]), total enzyme ([E]ₒ), and enzyme-substrate complex ([ES]) change over time:

    • At t=0t = 0: High substrate concentration, [P]=0[P] = 0.

    • As the reaction progresses:

    • Substrate concentration decreases, product concentration increases.

    • Total enzyme concentration remains constant throughout the reaction as a characteristic of catalysts.

    • [ES] plateaued over approximately 95% of the reaction time, demonstrating the steady-state condition.

Calculating Michaelis Constant (Km)
  • When k<em>2ext(chemistrystep)k<em>2 ext{ (chemistry step)} is much smaller than k</em>−1ext(dissociationstep)k</em>{-1} ext{ (dissociation step)},

    • K<em>m=rack</em>−1+k<em>2k</em>1extsimplifiestoK<em>mextapproximatelyk</em>−1K<em>m = rac{k</em>{-1} + k<em>2}{k</em>1} ext{ simplifies to } K<em>m ext{ approximately } k</em>{-1}.

  • Lower Km values indicate a stronger enzyme-substrate binding affinity.

  • Example values:

    • Chymotrypsin: Km = 5 mM

    • Arginine tRNA synthetase substrates measured for relative affinities.

Total Enzyme Concentration
  • Total enzyme concentration is the sum of free enzyme and enzyme-substrate complexes:

    • [E]o=[E]+[ES][E]ₒ = [E] + [ES].

Deriving Michaelis-Menten Equation
  • Substituting into V<em>0=k</em>2[ES]V<em>0 = k</em>2[ES] and rearranging leads to the Michaelis-Menten equation:

    • V<em>0=racV</em>max[S][S]+KmV<em>0 = rac{V</em>{max}[S]}{[S] + K_m}

Turnover Number (Kcat)

  • Kcat indicates the number of substrate molecules converted to product per unit time when the enzyme is saturated.

    • Given by: K<em>cat=racV</em>max[E]oK<em>{cat} = rac{V</em>{max}}{[E]ₒ}.

  • Typical values of Kcat include:

    • Carbonic anhydrase: 600,000 products/min

    • Lysozyme: lower rates compared to carbonic anhydrase.

Catalytic Efficiency

  • Catalytic efficiency is represented by the ratio of racK<em>catK</em>mrac{K<em>{cat}}{K</em>m}.

  • High numbers indicate effective enzyme kinetics.

  • Conditions leading to large ratios:

    • Small Km values (high affinity);

    • High Kcat values (fast reactions).

Concept of Catalytic Perfection
  • Limited upper bound of racK<em>catK</em>mrac{K<em>{cat}}{K</em>m} at 10810^8 to 10910^9.

  • Enzymes achieving this rate are considered to have catalytic perfection as reaction rates match diffusion limits.

Enzyme Statistics and Analysis

  • Discussion of reaction velocity profiles of different enzymes:

    • Comparing velocities at low substrate concentrations versus high concentrations.

  • Examples illustrating how to estimate reaction velocities, Kcat, and Km using experimental data.

  • Discussion on fraction of enzyme active sites bound to substrate as a direct measure of efficiency under saturation conditions.

Lineweaver-Burk Plot
  • Reciprocal transformation of the Michaelis-Menten equation provides a linear form for easier analysis.

    • rac1V<em>0=racK</em>mV<em>maxrac1[S]+rac1V</em>maxrac{1}{V<em>0} = rac{K</em>m}{V<em>{max}} rac{1}{[S]} + rac{1}{V</em>{max}}

Summary of Key Points

  • Understanding of Km and Kcat is critical for analyzing enzyme behavior and interactions.

  • Efficient enzyme function depends on relative values of these constants, which indicate affinity and speed.

Key Practice Problems and Takeaways

  • Solve problems related to enzyme kinetics and experiment designs.

  • Ability to calculate and interpret Km and kcat values through provided data and reactions.

Future Topics

  • Upcoming discussions on inhibitors and their effects on enzyme kinetics, building from these principles currently established.