Systems Biology and Bioinformatics Group, University of Rostock, 18051 Rostock, Germany.
J Theor Biol. 2010 May 21;264(2):334-46. doi: 10.1016/j.jtbi.2010.02.001. Epub 2010 Feb 6.
Transient dynamics of signal transduction pathways play an important role in many biological processes, including cell differentiation, apoptosis, metabolism and DNA damage response. Recent examples of quantitative methods to characterize transient signals include transient metabolic control coefficients and finite time Lyapunov exponents. In our work we compare these quantitative methods to characterize transient phenomena and specifically discuss their predictive power for three examples. We focus on the identification of thresholds that separate different transient dynamic behaviors. Our investigation leads to the following results: The spectrum of the finite-time Lyapunov exponents unambiguously and reliably identifies putative thresholds in transient dynamics. Metabolic control coefficients do not reliably detect all thresholds and suffer from false positives.
信号转导通路的瞬态动力学在许多生物过程中起着重要作用，包括细胞分化、细胞凋亡、代谢和 DNA 损伤反应。最近有一些定量方法可以用来描述瞬态信号，包括瞬态代谢控制系数和有限时间 Lyapunov 指数。在我们的工作中，我们比较了这些定量方法来描述瞬态现象，并特别讨论了它们对三个例子的预测能力。我们专注于识别分离不同瞬态动力学行为的阈值。我们的研究得出以下结果：有限时间 Lyapunov 指数谱可以明确而可靠地识别瞬态动力学中的潜在阈值。代谢控制系数不能可靠地检测所有的阈值，并且容易出现假阳性。
