Biological systems exhibit hierarchical and intricate mechanisms that enable self-sustenance and open-ended behavior. This organizational closure is arguably one of life’s hallmarks, and it is facilitated by the widespread utilization of enzymes. Enzymes enhance improbable pathways, enabling the formation of complex structures and functions. Here, we propose a model to characterize artificial enzymes within an artificial “soup” of functions. We contend that these enzymes can emerge from elementary interactions among functions, and they should foster rapid complexity growth, owing to their ability to construct auto-catalitic networks.

Issue Section:
General Conference: Accepted oral presentations
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© 2024 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license
2024
Massachusetts Institute of Technology
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Issue Section:
General Conference: Accepted oral presentations