Autocatalytic Sets and Assembly Theory: A Toy Model Perspective.

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Entropy Pub Date : 2024-09-22 DOI:10.3390/e26090808
Sebastian Raubitzek, Alexander Schatten, Philip König, Edina Marica, Sebastian Eresheim, Kevin Mallinger
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Abstract

Assembly Theory provides a promising framework to explain the complexity of systems such as molecular structures and the origins of life, with broad applicability across various disciplines. In this study, we explore and consolidate different aspects of Assembly Theory by introducing a simplified Toy Model to simulate the autocatalytic formation of complex structures. This model abstracts the molecular formation process, focusing on the probabilistic control of catalysis rather than the intricate interactions found in organic chemistry. We establish a connection between probabilistic catalysis events and key principles of Assembly Theory, particularly the probability of a possible construction path in the formation of a complex object, and examine how the assembly of complex objects is impacted by the presence of autocatalysis. Our findings suggest that this presence of autocatalysis tends to favor longer consecutive construction sequences in environments with a low probability of catalysis, while this bias diminishes in environments with higher catalysis probabilities, highlighting the significant influence of environmental factors on the assembly of complex structures.

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自催化集与组装理论:玩具模型视角
组装理论为解释分子结构和生命起源等系统的复杂性提供了一个前景广阔的框架,在各个学科中具有广泛的适用性。在本研究中,我们通过引入一个简化的玩具模型来模拟复杂结构的自催化形成,从而探索和巩固组装理论的不同方面。该模型抽象了分子形成过程,侧重于催化的概率控制,而非有机化学中错综复杂的相互作用。我们在概率催化事件与组装理论的关键原则之间建立了联系,特别是在复杂物体形成过程中可能的构造路径的概率,并研究了自催化的存在如何影响复杂物体的组装。我们的研究结果表明,在催化概率较低的环境中,自动催化的存在往往有利于较长的连续构造序列,而在催化概率较高的环境中,这种偏向性会减弱,这凸显了环境因素对复杂结构组装的重要影响。
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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