当前位置: X-MOL 学术J. Royal Soc. Interface › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The structure of autocatalytic networks, with application to early biochemistry
Journal of The Royal Society Interface ( IF 3.9 ) Pub Date : 2020-10-01 , DOI: 10.1098/rsif.2020.0488
Mike Steel 1 , Joana C Xavier 2 , Daniel H Huson 3
Affiliation  

Metabolism across all known living systems combines two key features. First, all of the molecules that are required are either available in the environment or can be built up from available resources via other reactions within the system. Second, the reactions proceed in a fast and synchronized fashion via catalysts that are also produced within the system. Building on early work by Stuart Kauffman, a precise mathematical model for describing such self-sustaining autocatalytic systems (RAF theory) has been developed to explore the origins and organization of living systems within a general formal framework. In this paper, we develop this theory further by establishing new relationships between classes of RAFs and related classes of networks, and developing new algorithms to investigate and visualize RAF structures in detail. We illustrate our results by showing how it reveals further details into the structure of archaeal and bacterial metabolism near the origin of life, and provide techniques to study and visualize the core aspects of primitive biochemistry.

中文翻译:

自催化网络的结构,在早期生物化学中的应用

所有已知生命系统的代谢结合了两个关键特征。首先,所需的所有分子要么在环境中可用,要么可以通过系统内的其他反应从可用资源中构建。其次,反应通过也在系统内产生的催化剂以快速和同步的方式进行。在 Stuart Kauffman 的早期工作的基础上,已经开发出一种精确的数学模型来描述这种自我维持的自动催化系统(RAF 理论),以在一般的正式框架内探索生命系统的起源和组织。在本文中,我们通过在 RAF 类别和相关网络类别之间建立新关系,并开发新算法来详细研究和可视化 RAF 结构,进一步发展了这一理论。
更新日期:2020-10-01
down
wechat
bug