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Autocatalysis underlies the ability of chemical and biochemical systems to replicate. Recently, Blokhuis et al. gave a stoechiometric definition of autocatalysis for reaction networks, stating the existence of a combination of reactions…

分子网络 · 定量生物学 2022-01-25 Jeremie Unterberger , Philippe Nghe

Autocatalysis is an important feature of metabolic networks, contributing crucially to the self-maintenance of organisms. Autocatalytic subsystems of chemical reaction networks (CRNs) are characterized in terms of algebraic conditions on…

分子网络 · 定量生物学 2026-05-06 Richard Golnik , Thomas Gatter , Peter F. Stadler , Nicola Vassena

Autocatalytic cores are minimal units in reaction networks (RNs) responsible for the emergence of autocatalysis. In the absence of explicit catalysis, i.e., when an entity appears both as reactant and product in the same reaction, they are…

组合数学 · 数学 2026-03-04 Richard Golnik , Thomas Gatter , Peter F. Stadler , Nicola Vassena

Oscillatory chemical reactions are functional components in a variety of biological contexts. In chemistry, the construction and identification of even rudimentary oscillators remain elusive and lack a general framework. Using…

分子网络 · 定量生物学 2025-10-10 Alexander Blokhuis , Peter F. Stadler , Nicola Vassena

Autocatalysis is a deceptively simple concept, referring to the situation that a chemical species $X$ catalyzes its own formation. From the perspective of chemical kinetics, autocatalysts show a regime of super-linear growth. Given a…

分子网络 · 定量生物学 2021-07-08 Jakob L. Andersen , Christoph Flamm , Daniel Merkle , Peter F. Stadler

We determine conditions under which a random biochemical system is likely to contain a subsystem that is both autocatalytic and able to survive on some ambient `food' source. Such systems have previously been investigated for their…

分子网络 · 定量生物学 2007-05-23 Elchanan Mossel , Mike Steel

Autocatalytic Sets are reaction networks theorised as networks at the basis of life. Their main feature is the ability of spontaneously emerging and self-reproducing. The Reflexively and Food-generated theory provides a formal definition of…

分子网络 · 定量生物学 2020-10-19 Alessandro Ravoni

We define catalytic networks as chemical reaction networks with an essentially catalytic reaction pathway: one which is on in the presence of certain catalysts and off in their absence. We show that examples of catalytic networks include…

分子网络 · 定量生物学 2011-11-18 Manoj Gopalkrishnan

Background: Autocatalytic sets are often considered a necessary (but not sufficient) condition for the origin and early evolution of life. Although the idea of autocatalytic sets was already conceived of many years ago, only recently have…

分子网络 · 定量生物学 2012-06-06 Wim Hordijk , Mike Steel

In biochemical networks, complex dynamical features such as superlinear growth and oscillations are classically considered a consequence of autocatalysis. For the large class of parameter-rich kinetic models, which includes Generalized Mass…

分子网络 · 定量生物学 2024-03-06 Nicola Vassena , Peter F. Stadler

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

Autocatalysis lies at the heart of many (bio)chemical processes and is key to processes leading up to the origin of life. Two seemingly very different formalisms have emerged that define autocatalysis. Kauffman introduced collective…

分子网络 · 定量生物学 2026-05-26 Richard Golnik , Thomas Gatter , Wim Hordijk , Peter F. Stadler , Nicola Vassena

Mutation is introduced into autocatalytic reaction networks. Examples of low dimensional dynamical systems --- n = 2, 3 and 4 --- are discussed and complete qualitative analysis is presented. Error thresholds known from simple…

chao-dyn · 物理学 2008-02-03 Peter F. Stadler , Wolfgang Schnabl , Christian V. Forst , Peter Schuster

Self-sustaining autocatalytic networks play a central role in living systems, from metabolism at the origin of life, simple RNA networks, and the modern cell, to ecology and cognition. A collectively autocatalytic network that can be…

分子网络 · 定量生物学 2018-03-29 Mike Steel , Wim Hordijk

Developing a mathematical understanding of autocatalysis in reaction networks has both theoretical and practical implications. We review definitions of autocatalytic networks and prove some properties for minimal autocatalytic subnetworks…

分子网络 · 定量生物学 2023-11-14 Praful Gagrani , Victor Blanco , Eric Smith , David Baum

Given any finite and closed chemical reaction system, it is possible to efficiently determine whether or not it contains a `self-sustaining and collectively autocatalytic' subset of reactions, and to find such subsets when they exist.…

分子网络 · 定量生物学 2015-01-26 Mike Steel

Self-sustaining autocatalytic chemical networks represent a necessary, though not sufficient condition for the emergence of early living systems. These networks have been formalised and investigated within the framework of RAF theory, which…

分子网络 · 定量生物学 2012-12-19 Mike Steel , Wim Hordijk , Joshua Smith

Autocatalytic chemical networks play a predominant role in a large number of natural systems such as in metabolic pathways and in ecological networks. Despite recent efforts, the precise impact of thermodynamic constraints on these networks…

化学物理 · 物理学 2024-06-14 Armand Despons , Yannick de Decker , David Lacoste

This paper develops some basic principles to study autocatalytic networks and exploit their structural properties in order to characterize their inherent fundamental limits and tradeoffs. In a dynamical system with autocatalytic structure,…

系统与控制 · 计算机科学 2017-06-30 Milad Siami , Nader Motee , Gentian Buzi , Bassam Bamieh , Mustafa Khammash , John C. Doyle

We develop a model-independent reduction method of chemical reaction systems based on the stoichiometry, which determines their network topology. A subnetwork can be eliminated systematically to give a reduced system with fewer degrees of…

分子网络 · 定量生物学 2021-11-25 Yuji Hirono , Takashi Okada , Hiroyasu Miyazaki , Yoshimasa Hidaka
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