An algebraic characterization of self-generating chemical reaction networks using semigroup models
Dimitri Loutchko

TL;DR
This paper introduces an algebraic framework using semigroup models to analyze self-generating chemical reaction networks, providing new insights into their structure and dynamics relevant to origin-of-life studies.
Contribution
It develops a semigroup-based algebraic characterization of self-generating chemical networks, including a structure theorem and a tree-based representation method.
Findings
Semigroup models capture the catalytic functions of chemicals.
The lattice of self-generating sets has a proven structure theorem.
Self-generating sets imply the CRS is not nilpotent.
Abstract
The ability of a chemical reaction network to generate itself by catalyzed reactions from constantly present environmental food sources is considered a fundamental property in origin-of-life research. Based on Kaufmann's autocatalytic sets, Hordijk and Steel have constructed the versatile formalism of catalytic reaction systems (CRS) to model and to analyze such self-generating networks, which they named reflexively autocatalytic and food generated (RAF). Previously, it was established that the subsequent and simultaenous catalytic functions of the chemicals of a CRS give rise to an algebraic structure, termed a semigroup model. The semigroup model allows to naturally consider the function of any subset of chemicals on the whole CRS. This gives rise to a generative dynamics by iteratively applying the function of a subset to the externally supplied food set. The fixed point of this…
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Taxonomy
TopicsOrigins and Evolution of Life · DNA and Biological Computing · Gene Regulatory Network Analysis
