School of Electrical Engineering and the Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv 69978, Israel.
IEEE/ACM Trans Comput Biol Bioinform. 2012 Sep-Oct;9(5):1545-52. doi: 10.1109/TCBB.2012.88.
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.
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。