title: The stochastic evolution of a protocell: the Gillespie algorithm in a dynamically varying volume.
abstract: We propose an improvement of the Gillespie algorithm allowing us to study the time evolution of an ensemble of chemical reactions occurring in a varying volume, whose growth is directly related to the amount of some specific molecules, belonging to the reactions set. This allows us to study the stochastic evolution of a protocell, whose volume increases because of the production of container molecules. Several protocell models are considered and compared with the deterministic models.
authors.affiliation: Namur Center for Complex Systems and University of Namur, 5000 Namur, Belgium. timoteo.carletti@fundp.ac.be
authors.forename: T
authors.initials: T
authors.lastname: Carletti
authors.forename: A
authors.initials: A
authors.lastname: Filisetti
mesh_terms: D000465:Algorithms; D058045:Artificial Cells; D003198:Computer Simulation; D008954:Models, Biological; D015233:Models, Statistical