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Related Concept Videos

Fast Reactions01:27

Fast Reactions

Fast reactions occurring in times shorter than the time needed to mix reactants pose a unique challenge for investigation. In a liquid-phase continuous-flow system, reactants A and B are swiftly pushed into the mixing chamber, where mixing occurs within 1 ms. The reaction mixture then flows through an observation tube, and one measures light absorption to determine species concentrations at various points of the tube. This method is most appropriate when relatively large volumes of reactants...
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Measuring Reaction Rates

Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical field in...
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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...
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Protein Dynamics in Living Cells

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Dynamic Equilibrium02:20

Dynamic Equilibrium

A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...

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Related Experiment Video

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Absolute Quantification of Cell-Free Protein Synthesis Metabolism by Reversed-Phase Liquid Chromatography-Mass Spectrometry
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Published on: October 25, 2019

Accessible methods for the dynamic time-scale decomposition of biochemical systems.

Irina Surovtsova1, Natalia Simus, Thomas Lorenz

  • 1Department of Modeling of Biological Processes, University of Heidelberg, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany. irina.surovtsova@bioquant.uni-heidelberg.de

Bioinformatics (Oxford, England)
|July 28, 2009
PubMed
Summary

This study presents a new method for dissecting complex biochemical networks into understandable subnetworks using time-scale separation. The approach is implemented in COPASI software, offering clear visualization for improved systems biology analysis.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Biochemical Network Analysis

Background:

  • Biochemical models are increasingly complex, necessitating methods for rational dissection into independent subnetworks.
  • Understanding complex biological systems requires approaches that avoid heuristics and present results clearly.
  • Accessibility and clarity are crucial for the successful application of network dissection methods.

Purpose of the Study:

  • To develop and implement a method for dissecting complex biochemical networks into meaningful subnetworks.
  • To provide a clear and accessible approach for understanding biological systems without relying on heuristics.
  • To enhance the analysis of time-dependent biochemical models.

Main Methods:

  • Modification of the classical time-scale separation approach.
  • Implementation of the modified and classical methods within the COPASI software.
  • Development of diverse result representation options, including 3D visualization.

Main Results:

  • A modified time-scale separation method has been developed for dissecting biochemical networks.
  • The method is integrated into the widely used COPASI software, available for academic use.
  • The implementation supports various result representations, including 3D visualization, enhancing clarity.

Conclusions:

  • The developed method offers a rational approach to dissecting complex biochemical networks.
  • Integration into COPASI ensures accessibility and usability for researchers.
  • Enhanced visualization aids in the understanding of biological system dynamics.