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Related Concept Videos

Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

Enzyme kinetics studies the rates of biochemical reactions. Scientists monitor the reaction rates for a particular enzymatic reaction at various substrate concentrations. Additional trials with inhibitors or other molecules that affect the reaction rate may also be performed.
The experimenter can then plot the initial reaction rate or velocity (Vo) of a given trial against the substrate concentration ([S]) to obtain a graph of the reaction properties. For many enzymatic reactions involving a...
Nonlinear Pharmacokinetics: Michaelis-Menten Equation01:18

Nonlinear Pharmacokinetics: Michaelis-Menten Equation

The Michaelis–Menten equation is a fundamental model for describing capacity-limited kinetics in drug metabolism. It offers insights into the rate of decline of plasma drug concentration Cp over time, with Vmax and KM as pivotal parameters.
Vmax represents the maximum achievable process rate, while KM, known as the Michaelis constant, signifies the drug concentration at which the process rate reaches half its maximum. This relationship between Vmax, KM, and Cp gives rise to three distinct...
Enzyme Kinetics01:19

Enzyme Kinetics

Enzymes speed up reactions by lowering the activation energy of the reactants. The speed at which the enzyme turns reactants into products is called the rate of reaction. Several factors impact the rate of reaction, including the number of available reactants. Enzyme kinetics is the study of how an enzyme changes the rate of a reaction.
Scientists typically study enzyme kinetics with a fixed amount of enzyme in the controlled environment of a test tube. When more reactant, or substrate, is...
Determination of Michaelis Constant and Maximum Elimination Rate01:20

Determination of Michaelis Constant and Maximum Elimination Rate

The Michaelis constant (KM) and the theoretical maximum process rate (Vmax) are vital parameters in the Michaelis-Menten equation, central to many biochemical reactions. They provide essential insights into enzyme kinetics and drug metabolism.
These parameters can be estimated by analyzing plasma concentration data post-drug administration. A notable example of this application is phenytoin, a drug with capacity-limited kinetics. It's recommended that phenytoin should be administered at two...
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes a mild...
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes a mild...

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Related Experiment Video

Updated: Jul 19, 2026

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

When does the Michaelis-Menten equation hold for fluctuating enzymes?

Wei Min, Irina V Gopich, Brian P English

    The Journal of Physical Chemistry. B
    |October 13, 2006
    PubMed
    Summary

    Even slowly fluctuating enzymes can follow Michaelis-Menten kinetics under specific conditions. This study explores scenarios like quasi-static, quasi-equilibrium, and conformational-equilibrium states, explaining their implications for enzyme dynamics.

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    Steady-state, Pre-steady-state, and Single-turnover Kinetic Measurement for DNA Glycosylase Activity

    Published on: August 19, 2013

    Area of Science:

    • Biochemistry
    • Enzyme kinetics
    • Single-molecule biophysics

    Background:

    • Enzymes exhibit dynamic conformational and catalytic fluctuations.
    • The classical Michaelis-Menten (MM) relationship typically holds for fast fluctuations.
    • Recent single-molecule experiments reveal MM kinetics even with slow enzyme fluctuations (10^-4–10 s).

    Discussion:

    • This paper investigates conditions under which slowly fluctuating enzymes still adhere to the Michaelis-Menten (MM) relationship.
    • Analysis includes quasi-static, quasi-equilibrium, and conformational-equilibrium conditions.
    • The physical significance of apparent Michaelis and catalytic rate constants is elucidated for each scenario.

    Key Insights:

    • Slowly fluctuating enzymes can exhibit Michaelis-Menten (MM) kinetics under specific dynamic conditions.
    • The quasi-static condition implies slow conformational changes of the enzyme-substrate complex relative to other processes.
    • The quasi-equilibrium condition requires faster substrate dissociation than catalysis, regardless of fluctuation amplitudes.
    • The conformational-equilibrium condition assumes dissociation and catalytic rates depend similarly on conformational coordinates.

    Outlook:

    • Provides a theoretical framework for understanding enzyme dynamics beyond classical assumptions.
    • Offers insights into interpreting data from single-molecule enzyme assays.
    • Contributes to a deeper understanding of enzyme mechanisms and kinetics in biological systems.