A Denovo Rebuilding Approach to the Working Principle of Living Things

Shijian Chen, Xiaojie Liu, Qiang Huang
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Abstract

The aim of our work is to build a living thing in silicon by denovo assumptions and theories so as to understand life's working principle. The random collision set is the denovo point of our theory. This point paved our way to a system, which is both biochemically realizable and higher level emergent phenomenon reachable. Guided by our rebuilding theorem, we introduce biologically meaningful molecules and establish the full-quasi-autonomous Genome-Metabolic (G-M) system. Then an evolutionary computational method is applied to make higher-level biological functions to emerge. It is successfully evolved into a dynamic autonomous system. We analyze the behaviors and structure of the system and find that well accepted phenomena, such as cycle of negative feedback chains, gene regulatory network emerge as expected. These are verifications of our theory, which means that our approach has the power to shed light on the working principle of living things.
生物工作原理的迪诺重建方法
我们的工作目的是通过假设和理论在硅中构建一个有生命的东西,从而了解生命的工作原理。随机碰撞集是我们理论的起始点。这一点为我们的系统铺平了道路,这个系统既可以在生物化学上实现,又可以达到更高层次的涌现现象。在我们的重建定理的指导下,我们引入了具有生物学意义的分子,并建立了全准自主的基因组代谢(G-M)系统。然后应用进化计算方法使更高层次的生物功能出现。它成功地演化为一个动态自治系统。我们分析了系统的行为和结构,发现负反馈链循环、基因调控网络等普遍接受的现象如预期的那样出现。这些都是对我们理论的验证,这意味着我们的方法有能力揭示生物的工作原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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