Random biochemical networks: the probability of self-sustaining autocatalysis

DOI10.1016/j.jtbi.2004.10.011zbMath1442.92059OpenAlexW2059720554WikidataQ34384534 ScholiaQ34384534MaRDI QIDQ781232

Elchanan Mossel, Mike A. Steel

Publication date: 16 July 2020

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2004.10.011

zbMATH Keywords

autocatalysiscombinatorial chemistrydiscrete random structures

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Systems biology, networks (92C42)

Related Items (14)

Predicting template-based catalysis rates in a simple catalytic reaction model ⋮ Minimal autocatalytic networks ⋮ Autocatalytic sets in polymer networks with variable catalysis distributions ⋮ Evolutionary timeline of a modeled cell ⋮ Complexity results for autocatalytic network models ⋮ Autocatalytic sets and biological specificity ⋮ Looking for chemical reaction networks exhibiting a drift along a manifold of marginally stable states ⋮ Natural selection in chemical evolution ⋮ Autocatalysis in reaction networks ⋮ Long-term behaviours of autocatalytic sets ⋮ Self-sustaining autocatalytic networks within open-ended reaction systems ⋮ Autocatalytic networks in cognition and the origin of culture ⋮ Combinatorics of Polymer-Based Models of Early Metabolism ⋮ A note on random catalytic branching processes

Cites Work

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• First cycles in random directed graph processes
• Threshold phenomena in random structures
• The emergence of a self-catalysing structure in abstract origin-of-life models
• Detecting autocatalytic, self-sustaining sets in chemical reaction systems
• Models of evolution

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