Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102124
Title: Molecular recognition of the environment and mechanisms of the origin of species in quantum-like modeling of evolution
Authors: Melkikh, A. V.
Khrennikov, A.
Issue Date: 2017
Publisher: Elsevier Ltd
Citation: Melkikh A. V. Molecular recognition of the environment and mechanisms of the origin of species in quantum-like modeling of evolution / A. V. Melkikh, A. Khrennikov. — DOI 10.1016/j.pbiomolbio.2017.04.008 // Progress in Biophysics and Molecular Biology. — 2017. — Vol. 130. — P. 61-79.
Abstract: 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. © 2017 Elsevier Ltd
Keywords: ENTANGLEMENT
MOLECULAR RECOGNITION
QUANTUM CONTROL
QUANTUM INFORMATION
SPECIATION
ANIMAL
BIOLOGY
ENVIRONMENT
EVOLUTION
GENETIC EPIGENESIS
HUMAN
QUANTUM THEORY
ANIMALS
BIOLOGICAL EVOLUTION
COMPUTATIONAL BIOLOGY
ENVIRONMENT
EPIGENESIS, GENETIC
HUMANS
QUANTUM THEORY
URI: http://hdl.handle.net/10995/102124
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85019079324
PURE ID: 2210712
76c63328-8b73-4882-9d3a-edf209bfc8be
ISSN: 796107
DOI: 10.1016/j.pbiomolbio.2017.04.008
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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