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dc.contributor.authorMelkikh, A. V.en
dc.contributor.authorKhrennikov, A.en
dc.date.accessioned2021-08-31T15:01:56Z-
dc.date.available2021-08-31T15:01:56Z-
dc.date.issued2017-
dc.identifier.citationMelkikh 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.en
dc.identifier.issn796107-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Green3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85019079324&doi=10.1016%2fj.pbiomolbio.2017.04.008&partnerID=40&md5=a1d5b0036ae6014c4c990fe4e5bbe43a
dc.identifier.otherhttp://arxiv.org/pdf/1705.09863m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/102124-
dc.description.abstractA 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 Ltden
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceProg. Biophys. Mol. Biol.2
dc.sourceProgress in Biophysics and Molecular Biologyen
dc.subjectENTANGLEMENTen
dc.subjectMOLECULAR RECOGNITIONen
dc.subjectQUANTUM CONTROLen
dc.subjectQUANTUM INFORMATIONen
dc.subjectSPECIATIONen
dc.subjectANIMALen
dc.subjectBIOLOGYen
dc.subjectENVIRONMENTen
dc.subjectEVOLUTIONen
dc.subjectGENETIC EPIGENESISen
dc.subjectHUMANen
dc.subjectQUANTUM THEORYen
dc.subjectANIMALSen
dc.subjectBIOLOGICAL EVOLUTIONen
dc.subjectCOMPUTATIONAL BIOLOGYen
dc.subjectENVIRONMENTen
dc.subjectEPIGENESIS, GENETICen
dc.subjectHUMANSen
dc.subjectQUANTUM THEORYen
dc.titleMolecular recognition of the environment and mechanisms of the origin of species in quantum-like modeling of evolutionen
dc.typeReviewen
dc.typeinfo:eu-repo/semantics/reviewen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.pbiomolbio.2017.04.008-
dc.identifier.scopus85019079324-
local.contributor.employeeMelkikh, A.V., Ural Federal University, Mira str. 19, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeKhrennikov, A., International Center for Mathematical Modelling in Physics and Cognitive Sciences, Linnaeus University, Växjö, S-35195, Sweden, National Research University of Information Technologies, Mechanics and Optics (ITMO), St. Petersburg, 197101, Russian Federation
local.description.firstpage61-
local.description.lastpage79-
local.volume130-
dc.identifier.wos000423002900008-
local.contributor.departmentUral Federal University, Mira str. 19, Yekaterinburg, 620002, Russian Federation
local.contributor.departmentInternational Center for Mathematical Modelling in Physics and Cognitive Sciences, Linnaeus University, Växjö, S-35195, Sweden
local.contributor.departmentNational Research University of Information Technologies, Mechanics and Optics (ITMO), St. Petersburg, 197101, Russian Federation
local.identifier.pure76c63328-8b73-4882-9d3a-edf209bfc8beuuid
local.identifier.pure2210712-
local.identifier.eid2-s2.0-85019079324-
local.identifier.wosWOS:000423002900008-
local.identifier.pmid28483446-
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