Arunajadai Srikesh G
Department of Biostatistics and Anesthesiology, Columbia University Medical Center, PH5-505, New York, NY 10032, USA.
Math Biosci. 2009 Jul;220(1):57-71. doi: 10.1016/j.mbs.2009.04.003. Epub 2009 May 3.
Helicases are a class of enzymes involved in Ribonucleic Acid (RNA) metabolism. In this work a statistical method is proposed to analyze the individual mechanistic cycle of these motor proteins which are crucial to the understanding of their cellular functions. The RNA unwinding by NS3 helicase is hypothesized to occur in a series of discrete steps and the steps themselves occurring in accordance to an underlying point process. A point process driven multiple change point model is proposed to model the RNA unwinding mechanism. The methods are portable to other areas of applications as well. Algorithms based on robust-resistant statistical procedures are proposed to detect the change points. Both sequential and a posteriori change point models are considered. The relevant parameters of interest are estimated using a maximum likelihood approach. Simulations are performed to assess the performance of the methodology.
解旋酶是一类参与核糖核酸（RNA）代谢的酶。在这项工作中，提出了一种统计方法来分析这些驱动蛋白的单个作用机制循环，这对于理解它们的细胞功能至关重要。假设NS3解旋酶的RNA解旋过程按一系列离散步骤发生，且这些步骤本身依照一个潜在的点过程发生。提出了一种由点过程驱动的多变化点模型来模拟RNA解旋机制。这些方法也适用于其他应用领域。提出了基于稳健抗干扰统计程序的算法来检测变化点。同时考虑了顺序变化点模型和事后变化点模型。使用最大似然法估计相关的感兴趣参数。进行模拟以评估该方法的性能。
