KEYWORDS: Molecules, Systems modeling, Stochastic processes, Spherical lenses, Tolerancing, In vitro testing, Modeling, Data modeling, Head, Chemical reactions
In this contribution we tackle the problem of simulating the time behavior of self-assembling fatty acid vesicles in
different experimental conditions. These systems have been (and are being) explored by various labs as possible
precursor models of cellular compartments. By means of our recently developed stochastic simulation platform
('ENVIRONMENT') we are able to reproduce quite satisfactorily experimental data that have been reported on the
different growth behavior of this type of proto-cellular systems, depending on the level of osmotic pressure they are
under. The work here presented is part of a more general attempt to gain insight into the problem of how self-assembling
vesicles (closed bilayer structures) could progressively turn into minimal self-producing and self-reproducing cells: i.e.,
into interesting candidates for (proto-)biological systems. This involves crossing the traditional gap between in silico and
in vitro approaches, as we try to do here, convinced that major adavances in the field require the correct integration of
both theoretical and experimental endeavors.
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