MoBi® Toolbox for R
Integrating Multiscale Physiological Modeling and Simulation with Statistical Computing.
For example, the R environment can be used to change parameters in a model developed in MoBi®, simulate the model, and analyze the results. This allows an efficient operation in the model analysis stage, using the programming options as well as the libraries available within R in combination with the powerful modeling interface and solver kernel included MoBi®.
The Toolbox includes examples for plotting time courses in dependence of a varying parameter and an identification example, where model parameters are varied to optimize the error between simulation and experimental data.
March 28, 2017
Published in npj Systems Biology and Applications: Translational learning from clinical studies predicts drug pharmacokinetics across patient populations
December 19, 2016
New publications regarding PBPK modeling: Elderly, Isoniazid, DDI and Diabetes. In addition: A white paper regarding good practices in drug discovery and development
October 18, 2016
Published in CPT Pharmacometrics & Systems Pharmacology: Applied Concepts in PBPK modeling: How to build a PBPK/PD model