论文标题
基因调节网络的人工化学实施
An Artificial Chemistry Implementation of a Gene Regulatory Network
论文作者
论文摘要
基因调节网络是负责确定蛋白质和肽生产水平的生物生物相互作用的网络。蛋白质是细胞工厂的工人，其生产定义了细胞及其发育的目标。已经进行了各种尝试来对这些网络进行建模，以更好地了解这些生物系统，并利用了解它们来解决计算问题的灵感。在这项工作中，提出了一种基因调节网络的生物学上更现实的模型，该模型结合了细胞自动机和人工化学，以模拟称为转录因子和基因调节位点的调节蛋白之间的相互作用。这项工作的结果表明，复杂的动力学接近自然界中可以观察到的东西。在这里，对系统的初始状态对产生的动力学的影响进行了分析，这表明可以将这种可转化的模型针对产生所需的蛋白质动力学。
Gene Regulatory Networks are networks of interactions in biological organisms responsible for determining the production levels of proteins and peptides. Proteins are workers of a cell factory, and their production defines the goal of a cell and its development. Various attempts have been made to model such networks both to understand these biological systems better and to use inspiration from understanding them to solve computational problems. In this work, a biologically more realistic model for gene regulatory networks is proposed, which incorporates Cellular Automata and Artificial Chemistry to model the interactions between regulatory proteins called the Transcription Factors and the regulatory sites of genes. The result of this work shows complex dynamics close to what can be observed in nature. Here, an analysis of the impact of the initial states of the system on the produced dynamics is performed, showing that such evolvable models can be directed towards producing desired protein dynamics.
