Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1155/2012/423627 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
Keywords | Field | DocType |
algorithms,computer simulation | Statistical physics,Synchronization,Stochastic dynamics,Computer science,Gillespie algorithm,Protocell,Time evolution,Artificial intelligence,Machine learning | Journal |
Volume | ISSN | Citations |
2012 | 1748-670X | 2 |
PageRank | References | Authors |
0.46 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| T Carletti | 1 | 37 | 14.43 |
| A Filisetti | 2 | 62 | 11.08 |