A simple measure for biocomplexity.

Robert Prinz

doi:10.1016/j.biosystems.2022.104670

Publisher Website

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.

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. This record was last updated on 05/07/2022 and may not reflect the most current and accurate biomedical/scientific data available from NLM. The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/35427707

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