ArticlePloS one2011
Two different template replicators coexisting in the same protocell: stochastic simulation of an extended chemoton model.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Selection for growth drives the emergence of genetic heredity in protocells.PLoS biology · 2026Article
- The limits of metabolic heredity in protocells.Proceedings. Biological sciences · 2022Article
- Toward a theory of evolution as multilevel learning.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems.Life (Basel, Switzerland) · 2017Review
- Prebiotic selection for motifs in a model of template-free elongation of polymers within compartments.PloS one · 2017Article
- Synthetic transitions: towards a new synthesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
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Authors and funding
3 authors.
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Abstract
The simulation of complex biochemical systems, consisting of intertwined subsystems, is a challenging task in computational biology. The complex biochemical organization of the cell is effectively modeled by the minimal cell model called chemoton, proposed by Gánti. Since the chemoton is a system consisting of a large but fixed number of interacting molecular species, it can effectively be implemented in a process algebra-based language such as the BlenX programming language. The stochastic model behaves comparably to previous continuous deterministic models of the chemoton. Additionally to the well-known chemoton, we also implemented an extended version with two competing template cycles. The new insight from our study is that the coupling of reactions in the chemoton ensures that these templates coexist providing an alternative solution to Eigen's paradox. Our technical innovation involves the introduction of a two-state switch to control cell growth and division, thus providing an example for hybrid methods in BlenX. Further developments to the BlenX language are suggested in the Appendix.
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