School of Control Science and Engineering, Shandong University, Jinan 250061, China.
IEEE Trans Nanobioscience. 2010 Mar;9(1):59-70. doi: 10.1109/TNB.2010.2041065. Epub 2010 Jan 29.
This paper extends our early study on a mathematical formulation of the central dogma of molecular biology, and focuses discussions on recent insights obtained by employing advanced systems theoretic analysis. The goal of this paper is to mathematically represent and interpret the genetic information flow at the molecular level, and explore the fundamental principle of molecular biology at the system level. Specifically, group theory was employed to interpret concepts and properties of gene mutation, and predict backbone torsion angle along the peptide chain. Finite state machine theory was extensively applied to interpret key concepts and analyze the processes related to DNA hybridization. Using the proposed model, we have transferred the character-based model in molecular biology to a sophisticated mathematical model for calculation and interpretation.
本文扩展了我们早期对分子生物学中心法则的数学公式化的研究,并重点讨论了通过采用先进的系统理论分析所获得的最新见解。本文的目的是在分子水平上用数学表示和解释遗传信息流,并在系统水平上探索分子生物学的基本原理。具体而言,群论被用来解释基因突变的概念和性质,并预测肽链上的骨架扭转角。有限状态机理论被广泛应用于解释与 DNA 杂交相关的关键概念和分析过程。使用所提出的模型,我们已经将分子生物学中的基于字符的模型转换为用于计算和解释的复杂数学模型。