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A simple measure for biocomplexity.

Authors
  • Prinz, Robert1
  • 1 Rechenkraft.net e.V., Marburg, Germany. Electronic address: [email protected] , (Germany)
Type
Published Article
Journal
Bio Systems
Publication Date
Apr 12, 2022
Volume
217
Pages
104670–104670
Identifiers
DOI: 10.1016/j.biosystems.2022.104670
PMID: 35427707
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The perspective presents a code-based measure of biocomplexity that can be expressed as a simple formula "codes/components = complexity" and allows quantification of biological complexity across a wide range of biosystems and biological taxa. It combines informational concepts (i.e., codes) with quantitative behavior of biomolecular components. An analogy to entropy is drawn and the implications for the evolution of biocomplexity are illuminated. Copyright © 2022 Elsevier B.V. All rights reserved.

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