Nanoparticle PBPK model

SimBiology model and code to perform CI and NCA analyses, and optimization using parallel computing.
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Aktualisiert 21 Nov 2017

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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-new
Reference:
Model based on:
"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.
International Journal of Nanomedicine, 2015 Volume 10, 2521-2535.

Zitieren als

MathWorks SimBiology Team (2024). Nanoparticle PBPK model (https://www.mathworks.com/matlabcentral/fileexchange/64988-nanoparticle-pbpk-model), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2017b
Kompatibel mit allen Versionen
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Version Veröffentlicht Versionshinweise
1.0.0.0

Updated reference