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Autocatalysis, information and coding.

P R Wills1

  • 1Department of Physics, University of Auckland, Private Bag 92019, Auckland, New Zealand. p.wills@auckland.ac.nz

Bio Systems
|April 28, 2001
PubMed
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This summary is machine-generated.

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Autocatalytic self-organization enables macromolecular systems to build themselves through reflexive structure-function relationships. This process, observed in genetic sequences and prions, is key to the evolution of biological coding and information creation.

Area of Science:

  • Biochemistry
  • Systems Biology
  • Origin of Life Studies

Background:

  • Autocatalytic self-construction is fundamental for macromolecular systems.
  • Reflexivity, a link between structure and function, is crucial for self-synthesis.
  • Semiotic properties of catalytic structures are key to understanding self-organization.

Purpose of the Study:

  • To explore the role of reflexivity in autocatalytic self-construction.
  • To investigate the semiotic basis for the evolution of genetic coding.
  • To examine prions as models for early biological semiotics.

Main Methods:

  • Analysis of formal and semiotic features of catalytic structure-function relationships.
  • Theoretical modeling of autocatalytic self-organization in populations of catalysts.

Related Experiment Videos

  • Comparative study of genetic sequences and prion replication.
  • Main Results:

    • Reflexivity in macromolecular systems depends on the embedding of catalytic functions within polymeric structures.
    • Certain genetic sequences exhibit reflexivity, providing a basis for coding evolution.
    • Autocatalytic selection drives differentiation and the creation of symbolic information.
    • Prions exemplify autocatalytic replication and biological semiotics.

    Conclusions:

    • Reflexivity is a critical semiotic property enabling autocatalytic self-construction and the emergence of coding.
    • Autocatalytic selection is a fundamental mechanism for information creation in early biochemical systems.
    • Prions offer insights into less obvious aspects of biological semiotics beyond genetic coding.