细胞微管中量子弛豫特性的详细分析：马尔可夫动力学和非马尔可夫动力学。

IF 1.9 4区生物学 Q2 BIOLOGY

Biosystems Pub Date : 2025-06-29 DOI:10.1016/j.biosystems.2025.105520

V.A. Saenko , S.Eh. Shirmovsky , D.V. Shulga

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引用次数: 0

摘要

本文研究了微管偶极子系统中的量子弛豫过程。本研究在马尔可夫模型和非马尔可夫模型下进行。本研究是基于非线性微分方程组的数值模拟。对非马尔可夫解析表达式进行了详细的推导。建立了量子弛豫过程的非线性特性。结果表明，偶极矩的量子动力学具有不同的矛盾性质，并取决于微管长度、微管各向异性、温度等环境因素的临界值。在小温度和小松弛时间下，非马尔可夫模型的动力学与马尔可夫模型有明显的不同。

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Detailed analysis of the quantum relaxation features in the cell microtubules: Markovian and non-Markovian dynamics

In the present work, the quantum relaxation processes in the microtubule dipole system are studied. The study is conducted in the Markovian and non-Markovian models. The research is based on the numerical simulation of the nonlinear system of differential equations. The detailed derivation of the non-Markovian analytical expressions has been made. The nonlinear character of the quantum relaxation processes has been established. It is shown that the quantum dynamics of the dipole moments has a different - ambivalent nature and depends on the critical values of the environmental factors such as: microtubule length, microtubule anisotropy, temperature. It is established that the dynamics in the non-Markovian model differs markedly from the Markovian one at a small temperature and at small relaxation time values.

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来源期刊

Biosystems 生物-生物学

CiteScore

3.70

自引率

18.80%

发文量

129

审稿时长

34 days

期刊介绍： BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.