This package contains a physiologically-based pharmacokinetic (PBPK) model, based on a publication by Dong et al. The accompanying code can be used to:
* Calculate confidence intervals on parameter estimates and model predictions (SimBiology functions: sbioparameterci, sbiopredictionci)
* Perform noncompartmental analysis (NCA) on PK datasets, as well as model predictions to obtain clinically relevant parameters (SimBiology function: sbionca)
* Illustrate justifications for using parallel computing such as dealing with out-of-memory simulations and increasing performance by introducing MATLAB functions and how they work in conjunction with SimBiology (MATLAB functions: datastore, parfor, mapreduce)
This model and code were also discussed in the following webinar:
http://www.rosaandco.com/webinars/2017/enabling-qsp-and-pk-pd-workflows-using-simbiology-and-matlab-whats-whats-new
Reference:
模型基于:
"Elucidating the in vivo fate of nanocrystals using a physiologically based pharmacokinetic model: a case study with the anticancer agent SNX-2112”
Dong D et al.
国际纳米医学杂志，2015年第10卷第2521-2535卷。