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Some computational models at the cellular level

R C Paton1

  • 1Department of Computer Science, University of Liverpool, UK.

Bio Systems
|January 1, 1993
PubMed
Summary
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This paper explores cell modeling by comparing computational properties using metaphors like the cell as a machine, society, text, and field. It examines information processing in cells through various computational frameworks.

Area of Science:

  • Cell biology
  • Computational biology
  • Theoretical biology

Background:

  • Cells possess information processing capabilities.
  • Current models of cellular computation are diverse.
  • Understanding cellular information processing is crucial for biological insights.

Purpose of the Study:

  • To explore diverse viewpoints on modeling cellular information processing.
  • To introduce and compare various metaphors for understanding cell computation.
  • To extend current machine-based thinking in cell biology.

Main Methods:

  • Review of computational paradigms (sequential, parallel, distributed, emergent).
  • Application of metaphors: cell-as-machine, cell-as-society, cell-as-text, cell-as-field.

Related Experiment Videos

  • Comparative analysis of cellular computational properties.

    • Main Results:

    • The cell-as-machine metaphor provides a framework for understanding cellular mechanisms.
    • Alternative metaphors (society, text, field) offer complementary perspectives.
    • Networks and circuits are key to describing cellular machine mechanisms.

    Conclusions:

    • A multi-metaphorical approach enhances understanding of cellular information processing.
    • The cell's computational abilities can be conceptualized through diverse frameworks.
    • Integrating various models offers a more comprehensive view of cell biology.