Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

The Stochastic Organization of Genomes and the Doctrine of Energy-Information Evolution Based on Bio-Antenna Arrays

Version 1 : Received: 2 March 2022 / Approved: 7 March 2022 / Online: 7 March 2022 (13:04:05 CET)
Version 2 : Received: 24 April 2022 / Approved: 26 April 2022 / Online: 26 April 2022 (10:30:56 CEST)

How to cite: Petoukhov, S. The Stochastic Organization of Genomes and the Doctrine of Energy-Information Evolution Based on Bio-Antenna Arrays. Preprints 2022, 2022030100 (doi: 10.20944/preprints202203.0100.v2). Petoukhov, S. The Stochastic Organization of Genomes and the Doctrine of Energy-Information Evolution Based on Bio-Antenna Arrays. Preprints 2022, 2022030100 (doi: 10.20944/preprints202203.0100.v2).

Abstract

The article continues the author's publications about the matrix-tensor study of universal rules of stochastic (probabilistic) organization of long single-stranded DNA sequences in eukaryotic and prokaryotic genomes. The author reveals that corresponding matrices of probabilities of n-plets in n-textual representations of each genomic DNA are numerically interrelated each with other in such algebraic form, which has analogies with formalisms of the known tensor-matrix theory of digital antenna arrays. These arrays combine many separate antennas into a single coordinated ensemble with unique emergent properties, due to which antenna arrays are widely used in devices of medicine, astrophysics, avionics, etc. The noted analogies allow putting forward the author's hypothesis that the stochastic organization of genomic DNAs is connected with bio-antenna arrays. From the point of view of this hypothesis, many known facts about using principles of antenna arrays in inherited physiological phenomena are collected in a single grouping with genomic DNAs. This new topic about the biological meaning of profitable properties of antenna arrays includes problems of biological evolution, the origin of the genetic code, regenerative medicine, and the development of algebraic biology. These issues are discussed jointly with the author's results of quantum information analysis of stochastic features of genomic DNAs.

Keywords

genomic DNA; probability; matrices; tensor product; Hadamard product; antenna arrays; photonic crystals; liquid crystals; biophotonics; quantum informatics

Subject

LIFE SCIENCES, Genetics

Comments (1)

Comment 1
Received: 26 April 2022
Commenter: Sergey Petukhov
Commenter's Conflict of Interests: Author
Comment: The second version of the article contains significantly more materials, sections,  figures, and references than the first version.
+ Respond to this comment

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 1
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.