Quantitative Systems PharmacologyandPhysiologically‐Based PharmacokineticModeling With mrgsolve: A Hands‐On Tutorial

CPT: Pharmacometrics and Systems Pharmacology - Tập 8 Số 12 - Trang 883-893 - 2019
Ahmed Elmokadem1, Matthew M. Riggs1, Kyle T. Baron1
1Metrum Research Group, Tariffville, Connecticut, USA

Tóm tắt

mrgsolve is an open‐source R package available on the Comprehensive R Archive Network. It combines R and C++ coding for simulation from hierarchical, ordinary differential equation–based models. Its efficient simulation engine and integration into a parallelizable, R‐based workflow makes mrgsolve a convenient tool both for simple and complex models and thus is ideal for physiologically‐based pharmacokinetic (PBPK) and quantitative systems pharmacology (QSP) model. This tutorial will first introduce the basics of the mrgsolve simulation workflow, including model specification, the introduction of interventions (dosing events) into the simulation, and simulated results postprocessing. An applied simulation example is then presented using aPBPKmodel for voriconazole, including a model validation step against adult and pediatric data sets. A final simulation example is then presented using a previously publishedQSPmodel for mitogen‐activated protein kinase signaling in colorectal cancer, illustrating population simulation of different combination therapies.

Từ khóa


Tài liệu tham khảo

Hindmarsh A.C., 1983, Scientific Computing, 55

10.1007/978-1-4614-6868-4

Beal S.L., 1992, NONMEM Users Guide

10.1016/j.csda.2013.02.005

Pinheiro J. Bates D. DebRoy S.&Sarkar D.;R Core Team.nlme: linear and nonlinear mixed effects models<https://CRAN.R-project.org/package=nlme> (2019).

10.18637/jss.v080.i03

10.1016/j.cmpb.2012.05.005

10.1016/j.cmpb.2009.09.012

Wickham H.tidyverse: easily install and load the “Tidyverse”<https://CRAN.R-project.org/package=tidyverse> (2017).

10.1111/j.1751-5823.2008.00062_5.x

R Core Team, 2018, R: A Language and Environment for Statistical Computing

Gentzsch W., Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid

Chang W. Cheng J. Allaire J.J. Xie Y.&McPherson J.shiny: web application framework for R<https://CRAN.R-project.org/package=shiny> (2019)

Bache S.M.&Wickham H..magrittr: a forward‐pipe operator for R<https://CRAN.R-project.org/package=magrittr>; (2014).

10.1007/s40262-014-0181-y

10.1007/s10928-011-9200-x

10.1016/j.apsb.2016.04.004

10.1038/psp.2013.41

10.1016/S0146-6453(03)00002-2

10.1002/jps.10005

10.1124/dmd.109.029769

10.18637/jss.v033.i03

Iooss B.et al.Sensitivity: global sensitivity analysis of model outputs<https://CRAN.R-project.org/package=sensitivity> (2018).

10.1038/s41540-017-0016-1