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Related Experiment Videos

Toward large-scale modeling of the microbial cell for computer simulation.

Nobuyoshi Ishii1, Martin Robert, Yoichi Nakayama

  • 1Institute for Advanced Biosciences, Keio University, 403-1 Daihoji, Tsuruoka, Yamagata 997-0017, Japan.

Journal of Biotechnology
|September 24, 2004
PubMed
Summary

Systems biology uses mathematical modeling and computer simulations to understand complex cellular systems. This review covers microbial modeling, simulation platforms, and a strategy for whole-cell metabolism modeling.

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Imperfections in Crystal Structure: Stoichiometric Point Defects01:26

Imperfections in Crystal Structure: Stoichiometric Point Defects

Schottky defects arise when some lattice points in a crystal, such as those in NaCl, remain unoccupied, creating lattice vacancies without disturbing the overall electrical neutrality of the crystal. This defect is common in ionic crystals where the positive and negative ions are similar in size, as seen in sodium chloride and cesium chloride. The presence of Schottky defects enables the crystal to conduct electricity to a small extent through an ionic mechanism. Electric fields cause nearby...

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Area of Science:

  • Systems biology
  • Bioinformatics
  • Microbial cell analysis

Background:

  • Post-genomic era research focuses on large-scale "omics" data (transcriptomics, proteomics, metabolomics).
  • Systems biology aims to understand organisms as complex interacting systems.
  • Mathematical modeling and computer simulations are key tools for systems biology.

Purpose of the Study:

  • To review mathematical models for microorganisms.
  • To summarize biochemical/cellular simulation platforms.
  • To present a strategy for building a "whole cell metabolism model".

Main Methods:

  • Review of existing mathematical models (structured, unstructured, static, dynamic).
  • Summary of biochemical/cellular simulation platforms.

Related Experiment Videos

  • Introduction of the E-Cell system.
  • Presentation of an experimental approach for whole-cell metabolism modeling.

    • Main Results:

    • Overview of diverse microbial mathematical models.
    • Compilation of simulation platforms for model manipulation.
    • Introduction of the E-Cell system as a simulation tool.
    • Outline of a strategy for constructing a whole-cell metabolism model.

    Conclusions:

    • Mathematical modeling is crucial for advancing systems biology and understanding microbial cells.
    • Simulation platforms like E-Cell facilitate the analysis of complex biological systems.
    • Developing whole-cell metabolism models offers significant potential for biological, medical, and industrial applications.