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简单的周期性生物分子模型中的次谐波和混沌。

Subharmonics and Chaos in Simple Periodically Forced Biomolecular Models.

机构信息

Center for Quantitative Biology, Rutgers University, Piscataway, New Jersey.

Department of Physics and Center for Brain Science, Harvard University, Cambridge, Massachusetts.

出版信息

Biophys J. 2018 Mar 13;114(5):1232-1240. doi: 10.1016/j.bpj.2018.01.006.

Abstract

This article uncovers a remarkable behavior in two biochemical systems that commonly appear as components of signal transduction pathways in systems biology. These systems have globally attracting steady states when unforced, so they might have been considered uninteresting from a dynamical standpoint. However, when subject to a periodic excitation, strange attractors arise via a period-doubling cascade. Quantitative analyses of the corresponding discrete chaotic trajectories are conducted numerically by computing largest Lyapunov exponents, power spectra, and autocorrelation functions. To gain insight into the geometry of the strange attractors, the phase portraits of the corresponding iterated maps are interpreted as scatter plots for which marginal distributions are additionally evaluated. The lack of entrainment to external oscillations, in even the simplest biochemical networks, represents a level of additional complexity in molecular biology, which has previously been insufficiently recognized but is plausibly biologically important.

摘要

本文揭示了两个生化系统中一种显著的行为,这两个系统通常作为系统生物学中信号转导途径的组成部分出现。这些系统在没有外部强迫的情况下具有全局吸引的稳定状态,因此从动力学的角度来看,它们可能被认为是无趣的。然而,当受到周期性激励时,奇异吸引子通过倍周期分岔出现。通过计算最大李雅普诺夫指数、功率谱和自相关函数,对相应离散混沌轨迹进行了数值定量分析。为了深入了解奇异吸引子的几何形状,对相应迭代映射的相图进行了解释,将其视为散点图,并对边际分布进行了额外的评估。即使在最简单的生化网络中,对外界振荡的不顺应性也代表了分子生物学中额外的复杂性层次,这在以前没有得到充分的认识,但很可能具有重要的生物学意义。

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