用有限状态机模拟蛋白质合成和DNA突变

Salma A. O. Mohammed, Ashraf Ali Bourawy
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引用次数: 1

摘要

在分子生物学中,蛋白质是基因表达过程中最重要的产物,它是利用DNA分子的遗传信息产生的。根据分子生物学的中心法则,蛋白质是通过首先转录DNA基因合成的,该基因产生mRNA分子。然后将mRNA翻译成所需的蛋白质产物。有限状态机(FSM)是离散事件系统建模的一种有效工具。本文介绍了蛋白质合成的FSM模型。我们进一步将突变分析机制纳入我们的FSM模型,以帮助确定对蛋白质合成的影响。通过向FSM模型中输入DNA链,验证了所提出的模型。结果表明并证明了该模型模拟并生产了中心法则所描述的步骤的蛋白质产品。此外,FSM模型成功地发现基因突变,从而确定突变类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Protein Synthesis and DNA Mutations using Finite State Machines
In molecular biology, protein is the most significant product of the gene expression process, which is generated by utilizing the genetic information of the DNA molecules. Based on the Central Dogma of molecular biology, proteins are synthesized by first transcribing a DNA gene, which produces mRNA molecules. This mRNA is then translated to produce the desired protein product. Finite state machine (FSM) is a distinguishable tool for modeling discrete event systems. In this paper, we introduce an FSM model for protein synthesis. We further incorporate a mechanism for mutation analysis to our FSM model that helps in determining effects on protein synthesis. The proposed model has been validated by feeding the FSM model with DNA strands. Results have shown and proven that the model mimics and produces protein products as described by the steps of Central Dogma. Furthermore, the FSM model succeeds in discovering gene mutations and consequently determining mutation type.
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