Bottom-up modeling approach for the quantitative estimation of parameters in pathogen-host interactions.

ABSTRACT: Opportunistic fungal pathogens can cause bloodstream infection and severe sepsis upon entering the blood stream of the host. The early immune response in human blood comprises the elimination of pathogens by antimicrobial peptides and innate immune cells, such as neutrophils or monocytes. Mathematical modeling is a predictive method to examine these complex processes and to quantify the dynamics of pathogen-host interactions. Since model parameters are often not directly accessible from experiment, their estimation is required by calibrating model predictions with experimental data. Depending on the complexity of the mathematical model, parameter estimation can be associated with excessively high computational costs in terms of run time and memory. We apply a strategy for reliable paramete

SUBMITTER: Lehnert T 

PROVIDER: S-EPMC4473060 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature