Kauffman Model with Spatially Separated Ligation and Cleavage Reactions

One of the open questions regarding the origin of life is the problem how macromolecules could be created. One possible answer is the existence of autocatalytic sets in which some macromolecules mutually catalyze each other’s formation. This mechanism is theoretically described in the Kauffman model...

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Published inArtificial Life and Evolutionary Computation pp. 141 - 160
Main Authors Schneider, Johannes Josef, Eggenberger Hotz, Peter, Jamieson, William David, Faggian, Alessia, Li, Jin, Matuttis, Hans-Georg, Caliari, Adriano, Weyland, Mathias Sebastian, Flumini, Dandolo, Diaz, Aitor Patiño, Holler, Silvia, Casiraghi, Federica, Cebolla Sanahuja, Lorena, Hanczyc, Martin Michael, Barrow, David Anthony, Dimitriou, Pantelitsa, Castell, Oliver, Füchslin, Rudolf Marcel
Format Book Chapter
LanguageEnglish
Published Cham Springer Nature Switzerland 2024
SeriesCommunications in Computer and Information Science
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Summary:One of the open questions regarding the origin of life is the problem how macromolecules could be created. One possible answer is the existence of autocatalytic sets in which some macromolecules mutually catalyze each other’s formation. This mechanism is theoretically described in the Kauffman model. We introduce and simulate an extension of the Kauffman model, in which ligation and cleavage reactions are spatially separated in different containers connected by diffusion, and provide computational results for instances with and without autocatalytic sets, focusing on the time evolution of the densities of the various molecules. Furthermore, we study the rich behavior of a randomly generated instance containing an autocatalytic metabolism, in which molecules are created by ligation processes and destroyed by cleavage processes and vice versa or generated and destroyed both by ligation processes.
Bibliography:This work has been partially financially supported by the European Horizon 2020 project ACDC – Artificial Cells with Distributed Cores to Decipher Protein Function under project number 824060.
ISBN:303157429X
9783031574290
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-031-57430-6_12