Cargando…
Computational Model Informs Effective Control Interventions against Y. enterocolitica Co-Infection
SIMPLE SUMMARY: Medical control strategies for infectious diseases remain enormously important. One germ that can cause gastrointestinal infections is Yersinia enterocolitica. This study investigates and analyzes a computational model to identify the occurrence of disease-free and co-infection state...
Autores principales: | Mostolizadeh, Reihaneh, Dräger, Andreas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759887/ https://www.ncbi.nlm.nih.gov/pubmed/33266094 http://dx.doi.org/10.3390/biology9120431 |
Ejemplares similares
-
A Computational Model of Bacterial Population Dynamics in Gastrointestinal Yersinia enterocolitica Infections in Mice
por: Geißert, Janina K., et al.
Publicado: (2022) -
New workflow predicts drug targets against SARS-CoV-2 via metabolic changes in infected cells
por: Leonidou, Nantia, et al.
Publicado: (2023) -
Hierarchical modelling of microbial communities
por: Glöckler, Manuel, et al.
Publicado: (2023) -
Towards the human nasal microbiome: Simulating D. pigrum and S. aureus
por: Mostolizadeh, Reihaneh, et al.
Publicado: (2022) -
NCMW: A Python Package to Analyze Metabolic Interactions in the Nasal Microbiome
por: Glöckler, Manuel, et al.
Publicado: (2022)