A model of differentiation in quantum bioinformatics

被引：15

作者：

Asano, Masanari ^{[1
]}

Basieva, Irina ^{[2
]}

Khrennikov, Andrei ^{[2
,3
]}

Yamato, Ichiro ^{[4
]}

机构：

[1] Tokuyama Coll, Liberal Arts Div, Natl Inst Technol, Yamaguchi 7458585, Japan

[2] Linnaeus Univ, Inst Ctr Math Modeling Phys & Cognit Sci, Vaxjo Kalmar, Sweden

[3] Natl Res Univ Informat Technol Mech & Opt ITMO, St Petersburg 197101, Russia

[4] Tokyo Univ Sci, Dept Biol Sci & Technol, Katsushika Ku, 6-3-1 Niijuku, Tokyo 1258585, Japan

来源：

PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY | 2017年 / 130卷

关键词：

Differentiation; Quantum-like approach; Decoherence process; DECISION-MAKING;

D O I：

10.1016/j.pbiomolbio.2017.05.013

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Differentiation is a universal process found in various phenomena of nature. As seen in the example of cell differentiation, the creation diversity on individual's character is caused by environmental interactions. In this paper, we try to explain its mechanism, which has been discussed mainly in Biology, by using the formalism of quantum physics. Our approach known as quantum bioinformatics shows that the temporal change of statistical state called decoherence fits to describe non-local phenomena like differentiation. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：88 / 98

页数：11

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