Cargando…
Modeling early events in Francisella tularensis pathogenesis
Computational models can provide valuable insights into the mechanisms of infection and be used as investigative tools to support development of medical treatments. We develop a stochastic, within-host, computational model of the infection process in the BALB/c mouse, following inhalational exposure...
Autores principales: | Gillard, Joseph J., Laws, Thomas R., Lythe, Grant, Molina-París, Carmen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263195/ https://www.ncbi.nlm.nih.gov/pubmed/25566509 http://dx.doi.org/10.3389/fcimb.2014.00169 |
Ejemplares similares
-
A Novel Stochastic Multi-Scale Model of Francisella tularensis Infection to Predict Risk of Infection in a Laboratory
por: Carruthers, Jonathan, et al.
Publicado: (2018) -
Stochastic dynamics of Francisella tularensis infection and replication
por: Carruthers, Jonathan, et al.
Publicado: (2020) -
Role of Glycosylation/Deglycolysation Processes in Francisella tularensis Pathogenesis
por: Barel, Monique, et al.
Publicado: (2017) -
Comparative review of Francisella tularensis and Francisella novicida
por: Kingry, Luke C., et al.
Publicado: (2014) -
Regulation of Francisella Tularensis Virulence
por: Dai, Shipan, et al.
Publicado: (2011)