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Explaining a complex living system: dynamics, multi-scaling and emergence.

Irun R Cohen1, David Harel

  • 1Department of Immunology, The Weizmann Institute of Science, 76100 Rehovot, Israel.

Journal of the Royal Society, Interface
|January 26, 2007
PubMed
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Understanding complex living systems requires dynamic models. Computer-aided modeling offers a precise, understandable approach to explore emergent properties and control biological processes.

Area of Science:

  • Systems biology
  • Theoretical biology
  • Biophysics

Background:

  • Complex living systems exhibit emergent properties not explained by basic physics and chemistry.
  • Component interactions within these systems generate unpredictable macroscopic behaviors.
  • The transition from non-living molecules to a living cell exemplifies this complexity.

Purpose of the Study:

  • To present a framework for explaining complexity in living systems.
  • To introduce a dynamic modeling approach that is both mathematically precise and understandable.
  • To facilitate novel experimentation and enhance control over biological processes.

Main Methods:

  • Development of a mathematically precise, dynamic model.
  • Utilization of computer-aided tools for modeling.

Related Experiment Videos

  • Focus on the relationship between microscopic interactions and macroscopic emergent properties.

    • Main Results:

    • The proposed dynamic model provides a method for understanding complex biological behavior.
    • Computer-aided modeling aids in formulating new experimental designs.
    • The approach enhances the potential for achieving understanding and control of biological systems.

    Conclusions:

    • Dynamic, computer-aided models are essential for deciphering the complexity of living systems.
    • This approach bridges the gap between fundamental laws and emergent biological phenomena.
    • Precise modeling is key to advancing biological research and applications.