Hordijk Wim, Naylor Jonathan, Krasnogor Natalio, Fellermann Harold
Institute for Advanced Study, University of Amsterdam, 1012 WX Amsterdam, The Netherlands.
Interdisciplinary Computing and Complex BioSystems Research Group (ICOS), School of Computing, Newcastle University, Newcastle upon Tyne NE98, UK.
Life (Basel). 2018 Aug 18;8(3):33. doi: 10.3390/life8030033.
Autocatalytic sets are self-sustaining and collectively catalytic chemical reaction networks which are believed to have played an important role in the origin of life. Simulation studies have shown that autocatalytic sets are, in principle, evolvable if multiple autocatalytic subsets can exist in different combinations within compartments, i.e., so-called . However, these previous studies have so far not explicitly modeled the emergence and dynamics of autocatalytic sets in of compartments in a spatial environment. Here, we use a recently developed software tool to simulate exactly this scenario, as an important first step towards more realistic simulations and experiments on autocatalytic sets in protocells.
自催化集是自我维持且具有集体催化作用的化学反应网络，被认为在生命起源中发挥了重要作用。模拟研究表明，原则上，如果多个自催化子集能够以不同组合存在于隔室内，即所谓的……，那么自催化集是可进化的。然而，迄今为止，这些先前的研究尚未明确模拟空间环境中隔室形成过程中自催化集的出现和动态。在此，我们使用一种最近开发的软件工具来精确模拟这一情景，这是朝着对原细胞中自催化集进行更现实的模拟和实验迈出的重要第一步。
