A stochastic model of catalytic reaction networks in protocells
Roberto Serra, Alessandro Filisetti, Marco Villani, Alex Graudenzi,, Chiara Damiani, Tommaso Panini

TL;DR
This paper introduces a stochastic model for catalytic reaction networks within protocells, capturing the dynamics of replicating molecules in a semi-permeable membrane environment, providing insights into protocell evolution and selection.
Contribution
It presents a novel stochastic framework for protocell reaction networks that considers molecular entry and exit, advancing understanding of protocell evolution beyond previous models.
Findings
Model captures creation and extinction of species
Provides clues on conditions for protocell evolution
Simulates reaction network dynamics in protocells
Abstract
Protocells are supposed to have played a key role in the self-organizing processes leading to the emergence of life. Existing models either (i) describe protocell architecture and dynamics, given the existence of sets of collectively self-replicating molecules for granted, or (ii) describe the emergence of the aforementioned sets from an ensemble of random molecules in a simple experimental setting (e.g. a closed system or a steady-state flow reactor) that does not properly describe a protocell. In this paper we present a model that goes beyond these limitations by describing the dynamics of sets of replicating molecules within a lipid vesicle. We adopt the simplest possible protocell architecture, by considering a semi-permeable membrane that selects the molecular types that are allowed to enter or exit the protocell and by assuming that the reactions take place in the aqueous phase in…
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