ArticleBMC bioinformatics2012
Stochastic simulations of minimal cells: the Ribocell model.
Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The secret life of RNA and lipids.RNA biology · 2025Review
- Three Biopolymers and Origin of Life Scenarios.Life (Basel, Switzerland) · 2024Review
- The limits of metabolic heredity in protocells.Proceedings. Biological sciences · 2022Article
- Is Research on "Synthetic Cells" Moving to the Next Level?Life (Basel, Switzerland) · 2018Article
- The evolutionary dynamics of metabolic protocells.PLoS computational biology · 2018Article
- Prebiotic selection for motifs in a model of template-free elongation of polymers within compartments.PloS one · 2017Article
- Novel directions in molecular systems design: The case of light-transducing synthetic cells.Communicative & integrative biology · 2017Article
- Physical Routes to Primitive Cells: An Experimental Model Based on the Spontaneous Entrapment of Enzymes inside Micrometer-Sized Liposomes.Life (Basel, Switzerland) · 2015Article
- Modelling lipid competition dynamics in heterogeneous protocell populations.Scientific reports · 2014Article
- The binding of quinone to the photosynthetic reaction centers: kinetics and thermodynamics of reactions occurring at the QB-site in zwitterionic and anionic liposomes.European biophysics journal : EBJ · 2014Article
- Selection for replicases in protocells.PLoS computational biology · 2013Article
- Quasi-cellular systems: stochastic simulation analysis at nanoscale range.BMC bioinformatics · 2013Article
- Bioinformatics in Italy: BITS2011, the Eighth Annual Meeting of the Italian Society of Bioinformatics.BMC bioinformatics · 2012Article
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Abstract
backgroundOver the last two decades, lipid compartments (liposomes, lipid-coated droplets) have been extensively used as in vitro "minimal" cell models. In particular, simple and complex biomolecular reactions have been carried out inside these self-assembled micro- and nano-sized compartments, leading to the synthesis of RNA and functional proteins inside liposomes. Despite this experimental progress, a detailed physical understanding of the underlying dynamics is missing. In particular, the combination of solute compartmentalization, reactivity and stochastic effects has not yet been clarified. A combination of experimental and computational approaches can reveal interesting mechanisms governing the behavior of micro compartmentalized systems, in particular by highlighting the intrinsic stochastic diversity within a population of "synthetic cells".
methodsIn this context, we have developed a computational platform called ENVIRONMENT suitable for studying the stochastic time evolution of reacting lipid compartments. This software - which implements a Gillespie Algorithm - is an improvement over a previous program that simulated the stochastic time evolution of homogeneous, fixed-volume, chemically reacting systems, extending it to more general conditions in which a collection of similar such systems interact and change over the course of time. In particular, our approach is focused on elucidating the role of randomness in the time behavior of chemically reacting lipid compartments, such as micelles, vesicles or micro emulsions, in regimes where random fluctuations due to the stochastic nature of reacting events can lead an open system towards unexpected time evolutions.
resultsThis paper analyses the so-called Ribocell (RNA-based cell) model. It consists in a hypothetical minimal cell based on a self-replicating minimum RNA genome coupled with a self-reproducing lipid vesicle compartment. This model assumes the existence of two ribozymes, one able to catalyze the conversion of molecular precursors into lipids and the second able to replicate RNA strands. The aim of this contribution is to explore the feasibility of this hypothetical minimal cell. By deterministic kinetic analysis, the best external conditions to observe synchronization between genome self-replication and vesicle membrane reproduction are determined, while its robustness to random fluctuations is investigated using stochastic simulations, and then discussed.
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