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Molecular recognition of the environment and mechanisms of the origin of species in quantum-like modeling of evolution
Ural Fed Univ, Russia.
Linnaeus University, Faculty of Technology, Department of Mathematics. Natl Res Univ Informat Technol Mech & Opt ITMO, Russia. (Int Ctr Math Modelling Phys & Cognit Sci)ORCID iD: 0000-0002-9857-0938
2017 (English)In: Progress in Biophysics and Molecular Biology, ISSN 0079-6107, E-ISSN 1873-1732, Vol. 130, p. 61-79Article, review/survey (Refereed) Published
Abstract [en]

A review of the mechanisms of speciation is performed. The mechanisms of the evolution of species, taking into account the feedback of the state of the environment and mechanisms of the emergence of complexity, are considered. It is shown that these mechanisms, at the molecular level, cannot work steadily in terms of classical mechanics. Quantum mechanisms of changes in the genome, based on the long-range interaction potential between biologically important molecules, are proposed as one of possible explanation. Different variants of interactions of the organism and environment based on molecular recognition and leading to new species origins are considered. Experiments to verify the model are proposed. This bio-physical study is completed by the general operational model of based on quantum information theory. The latter is applied to model of epigenetic evolution. We briefly present the basics of the quantum-like approach to modeling of bio-informational processes. This approach is illustrated by the quantum-like model of epigenetic evolution. (C) 2017 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 130, p. 61-79
Keywords [en]
Speciation, Molecular recognition, Entanglement, Quantum control, Quantum information
National Category
Mathematics
Research subject
Natural Science, Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-70574DOI: 10.1016/j.pbiomolbio.2017.04.008ISI: 000423002900008PubMedID: 28483446OAI: oai:DiVA.org:lnu-70574DiVA, id: diva2:1181088
Available from: 2018-02-07 Created: 2018-02-07 Last updated: 2018-02-07Bibliographically approved

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Khrennikov, Andrei

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CiteExportLink to record
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  • apa
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