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Reduction of information entropy along with ever-increasing complexity are among the key signatures of living matter. Understanding the onset of such behavior in early prebiotic world is essential for solving the problem of origins of life.…

种群与进化 · 定量生物学 2018-10-17 Alexei V. Tkachenko , Sergei Maslov

All living systems -- from the origin of life to modern cells -- rely on a set of biochemical reactions that are simultaneously self-sustaining and autocatalytic. This notion of an autocatalytic set has been formalized graph-theoretically…

分子网络 · 定量生物学 2016-05-13 Wim Hordijk , Mike Steel

To unveil the logic of cell from a level of chemical reaction dynamics, we need to clarify how ensemble of chemicals can autonomously produce the set of chemical, without assuming a specific external control echanism. A cell consists of a…

分子网络 · 定量生物学 2007-05-23 Kunihiko Kaneko

As the first step in an investigation of the origin of genetic information, we study how some species of molecules are preserved over cell generations and play an important role in controlling the growth of a cell. We consider a model…

适应与自组织系统 · 物理学 2007-05-23 Kunihiko Kaneko , Tetsuya Yomo

To maintain homeostasis, living cells process information with networks of interacting molecules. Traditional models for cellular information processing have focused on networks of chemical reactions between molecules. Here, we describe how…

生物物理 · 物理学 2025-08-01 Arvind Murugan , David Zwicker , Charlotta Lorenz , Eric R. Dufresne

We consider a system of $M$ particles in contact with a heat reservoir of $N\gg M$ particles. The evolution in the system and the reservoir, together with their interaction, are modeled via the Kac's Master Equation. We chose the initial…

数学物理 · 物理学 2021-09-01 Federico Bonetto , Rui Han , Michael Loss

Natural supports of information are given by random copolymers such as DNA or RNA where information is coded in the sequence of covalent bonds. At the molecular scale, the stochastic growth of a single copolymer with or without a template…

生物大分子 · 定量生物学 2016-04-12 Pierre Gaspard

For understanding the origin of life, it is essential to explain the development of a compartmentalized structure, which undergoes growth and division, from a set of chemical reactions. In this study, a hypercycle with two chemicals that…

细胞行为 · 定量生物学 2015-05-18 Atsushi Kamimura , Kunihiko Kaneko

Understanding the degradation mechanisms of aliphatic polymers by thermal oxidation and radio-oxidation is very important in order to assess their lifetime in a variety of industrial applications. We focus here on polyethylene as a…

软凝聚态物质 · 物理学 2021-07-01 Yunho Ahn , Xavier Colin , Guido Roma

In previous work, RAF theory has been developed as a tool for making theoretical progress on the origin of life question, providing insight into the structure and occurrence of self-sustaining and collectively autocatalytic sets within…

分子网络 · 定量生物学 2013-10-18 Joshua I Smith , Mike Steel , Wim Hordijk

Polymer models are a widely used tool to study the prebiotic formation of metabolism at the origins of life. Counts of the number of reactions in these models are often crucial in probabilistic arguments concerning the emergence of…

分子网络 · 定量生物学 2021-04-14 Oliver Weller-Davies , Mike Steel , Jotun Hein

All life, including cells and artificial protocells, must integrate diverse molecules into a single unit in order to reproduce. Despite expected pressure to evolve a simple system with the fastest replication speed, the mechanism by which…

细胞行为 · 定量生物学 2014-08-12 Atsushi Kamimura , Kunihiko Kaneko

The emergence of self-sustaining autocatalytic networks in chemical reaction systems has been studied as a possible mechanism for modelling how living systems first arose. It has been known for several decades that such networks will form…

分子网络 · 定量生物学 2020-11-24 Stuart Kauffman , Mike Steel

An autocatalytic pattern matching polymer system is studied as an abstract model for chemical ecosystem evolution. Highly ordered populations with particular sequence patterns appear spontaneously out of a vast number of possible states.…

分子网络 · 定量生物学 2015-06-17 Shinpei Tanaka , Harold Fellermann , Steen Rasmussen

The large scale behaviour of a population of cells that grow and interact through the concentration field of the chemicals they secrete is studied using dynamical renormalization group methods. The combination of the effective long-range…

细胞行为 · 定量生物学 2015-01-19 Anatolij Gelimson , Ramin Golestanian

Self-replicating systems based on information-coding polymers are of crucial importance in biology. They also recently emerged as a paradigm in material design on nano- and micro-scales. We present a general theoretical and numerical…

软凝聚态物质 · 物理学 2015-07-15 Alexei V. Tkachenko , Sergei Maslov

A system formed by a crowded environment of catalytic obstacles and complex oscillatory chemical reactions is inquired. The obstacles are static spheres of equal radius, which are placed in a random way. The chemical reactions are carried…

We develop a formal model of the emergence of self-constructing objects (e.g. heteropolymers with autocatalytic capability) in an open system, which don't contain such objects initially. The objects are constructed from subunits (e.g.…

统计力学 · 物理学 2025-01-06 P. O. Mchedlov-Petrosyan , L. N. Davydov

Molecular data systems have the potential to store information at dramatically higher density than existing electronic media. Some of the first experimental demonstrations of this idea have used DNA, but nature also uses a wide diversity of…

While modern physics and biology satisfactorily explain the passage from the Big Bang to the formation of Earth and the first cells to present-day life, respectively, the origins of biochemical life still remain an open question. Since…

种群与进化 · 定量生物学 2025-02-25 Praful Gagrani , David Baum
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