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A probabilistic framework for identifying biosignatures using Pathway Complexity.

Stuart M Marshall1, Alastair R G Murray1, Leroy Cronin2

  • 1School of Chemistry, University of Glasgow, Glasgow G12 8QQ, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|November 15, 2017
PubMed
Summary
This summary is machine-generated.

Scientists developed a new

Keywords:
Pathway Complexitybiosignaturecomplexityliving–non-living threshold

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Area of Science:

  • Astrobiology and origin of life research.
  • Biophysics and complexity science.
  • Search for extraterrestrial life and biosignatures.

Background:

  • Living organisms produce complex, non-random structures distinguishing them from inanimate matter.
  • Biological products, from DNA to cells and tools, are technological or cultural biosignatures.
  • Distinguishing life from non-life and identifying biosignatures is crucial for astrobiology.

Purpose of the Study:

  • To develop a generalized approach for evaluating complex objects as biosignatures.
  • To create a rigorous method for proving an artefact's complexity exceeds random formation.
  • To establish a probabilistic framework for assigning complex objects as biosignatures.

Main Methods:

  • Introduction of a novel complexity measure termed 'Pathway Complexity'.
  • Development of a probabilistic approach integrating object complexity and abundance.
  • Application of the method to differentiate abiotic-biotic divides.

Main Results:

  • Pathway Complexity provides a quantitative method to assess non-randomness in biological structures.
  • The probabilistic approach allows unambiguous assignment of complex objects as biosignatures.
  • The framework can distinguish between life and non-life, and identify novel biology.

Conclusions:

  • The developed approach offers a robust method for biosignature detection.
  • This framework can guide the search for life beyond Earth and on our planet.
  • It aids in determining if complex chemical systems, including laboratory findings, are alive.