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核糖体流模型的稳定性分析。

Stability analysis of the ribosome flow model.

机构信息

School of Electrical Engineering and the Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv 69978, Israel.

出版信息

IEEE/ACM Trans Comput Biol Bioinform. 2012 Sep-Oct;9(5):1545-52. doi: 10.1109/TCBB.2012.88.

Abstract

Gene translation is a central process in all living organisms. Developing a better understanding of this complex process may have ramifications to almost every biomedical discipline. Recently, Reuveni et al. proposed a new computational model of this process called the ribosome flow model (RFM). In this study, we show that the dynamical behavior of the RFM is relatively simple. There exists a unique equilibrium point e and every trajectory converges to e. Furthermore, convergence is monotone in the sense that the distance to e can never increase. This qualitative behavior is maintained for any feasible set of parameter values, suggesting that the RFM is highly robust. Our analysis is based on a contraction principle and the theory of monotone dynamical systems. These analysis tools may prove useful in studying other properties of the RFM as well as additional intracellular biological processes.

摘要

基因翻译是所有生物体内的一个核心过程。深入了解这一复杂过程可能会对几乎所有的生物医学学科产生影响。最近,Reuveni 等人提出了一种新的核糖体流模型(RFM)来描述这一过程。在本研究中,我们发现 RFM 的动力学行为相对简单。存在一个唯一的平衡点 e,并且每个轨迹都收敛于 e。此外,这种收敛是单调的,即距离 e 永远不会增加。这种定性行为在任何可行的参数值集合中都得到保持,这表明 RFM 具有高度的稳健性。我们的分析基于收缩原理和单调动力系统理论。这些分析工具可能有助于研究 RFM 的其他性质以及其他细胞内的生物过程。

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