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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...
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...
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
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...
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

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High-Throughput Metabolic Profiling for Model Refinements of Microalgae
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High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

Enzyme kinetics and computational modeling for systems biology.

Pedro Mendes1, Hanan Messiha2, Naglis Malys3

  • 1Manchester Centre for Integrative Systems Biology, The University of Manchester, Manchester, United Kingdom; School of Computer Science, The University of Manchester, Manchester, United Kingdom; Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.

Methods in Enzymology
|November 10, 2009
PubMed
Summary

Enzyme kinetics data analysis is crucial for systems biology. This study proposes using computational modeling software, COPASI, for analyzing enzyme kinetic data, demonstrating its utility with yeast triosephosphate isomerase.

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Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Last Updated: Jun 18, 2026

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Published on: December 4, 2021

Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

Area of Science:

  • Biochemistry
  • Systems Biology
  • Computational Biology

Background:

  • Enzyme kinetics, a foundational biochemical research area, is increasingly vital for systems biology.
  • Computational models require accurate enzyme kinetic parameters, but much data is outdated or irrelevant.
  • Systems biology projects often necessitate extensive new enzyme kinetic assays.

Purpose of the Study:

  • To review enzyme kinetic data analysis methodologies.
  • To propose the use of computational modeling software for enzyme kinetic data analysis.
  • To apply COPASI software to analyze enzyme kinetic data for yeast triosephosphate isomerase (EC 5.3.1.1).

Main Methods:

  • Literature review of enzyme kinetic data analysis techniques.
  • Application of the biochemical network modeling software COPASI.
  • Enzyme kinetic assay data analysis for yeast triosephosphate isomerase.

Main Results:

  • Demonstrated the applicability of computational modeling for enzyme kinetic data analysis.
  • Successfully utilized COPASI to analyze kinetic data from yeast triosephosphate isomerase.
  • Highlighted the potential for computational tools to streamline data analysis in systems biology.

Conclusions:

  • Computational modeling software like COPASI can effectively analyze enzyme kinetic data.
  • This approach can address the need for relevant kinetic parameters in systems biology models.
  • Adopting computational tools can reduce the burden of experimental assays in systems biology research.