Name
Abstract | ||
|---|---|---|
Pseudomonas aeruginosa is an opportunistic bacterium that exploits quorum sensing communication to synchronize individuals in a colony and this leads to an increase in the effectiveness of its virulence. In this paper we derived a mechanistic P systems model to describe the behavior of a single bacterium and we discuss a possible approach, based on an evolutionary algorithm, to tune its parameters that will allow a quantitative simulation of the system. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11963516_13 | Workshop on Membrane Computing |
Keywords | Field | DocType |
quantitative simulation,mechanistic p systems model,opportunistic bacterium,possible approach,single bacterium,evolutionary algorithm,pseudomonas aeruginosa,p systems pseudomonas,p system,quorum sensing | Quorum sensing,Evolutionary algorithm,Computer science,Pseudomonas,Computational biology,Virulence,Membrane computing,Pseudomonas aeruginosa | Conference |
Volume | ISSN | ISBN |
4361 | 0302-9743 | 3-540-69088-3 |
Citations | PageRank | References |
12 | 0.80 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Bianco | 1 | 239 | 18.51 |
| Dario Pescini | 2 | 274 | 25.92 |
| Peter Siepmann | 3 | 21 | 1.38 |
| Natalio Krasnogor | 4 | 1213 | 85.53 |
| Francisco José Romero-Campero | 5 | 184 | 14.86 |
| Marian Gheorghe | 6 | 893 | 74.31 |