MEGen: a physiologically based pharmacokinetic model generator
Open Access
- 1 January 2011
- journal article
- Published by Frontiers Media SA in Frontiers in Pharmacology
- Vol. 2, 56
- https://doi.org/10.3389/fphar.2011.00056
Abstract
Physiologically based pharmacokinetic models are being used in an increasing number of different areas. However, they are perceived as complex, data hungry, resource intensive, and time consuming. In addition, model validation and verification are hindered by the relative complexity of the equations. To begin to address these issues a web application called MEGen for the rapid construction and documentation of bespoke deterministic PBPK model code is under development. MEGen comprises a parameter database and a model code generator that produces code for use in several commercial software packages and one that is freely available. Here we present an overview of the current capabilities of MEGen, and discuss future developments.This publication has 20 references indexed in Scilit:
- Approaches for Applications of Physiologically Based Pharmacokinetic Models in Risk AssessmentJournal of Toxicology and Environmental Health, Part B, 2008
- Characterizing Uncertainty and Variability in Physiologically Based Pharmacokinetic Models: State of the Science and Needs for Research and ImplementationToxicological Sciences, 2007
- Integration of in vitro neurotoxicity data with biokinetic modelling for the estimation of in vivo neurotoxicityHuman & Experimental Toxicology, 2007
- Evaluation of physiologically based pharmacokinetic models for use in risk assessmentJournal of Applied Toxicology, 2007
- Prediction of metabolic drug clearance in humans:In vitro–in vivoextrapolationvsallometric scalingXenobiotica, 2006
- Kinetic Modeling of β-Chloroprene Metabolism: II. The Application of Physiologically Based Modeling for Cancer Dose Response Analysis Portions of this research were conducted at the National Health and Environmental Effects Laboratory (NHEERL). The research in this article has been reviewed by NHEERL and approved for publication. Approval does not signify that the contents necessarily reflect the views and policies of the agency, nor does mention of a trade name or commercial products constitute endorsement or recommendation for use.2Data for 2002 from International Institute of Synthetic Rubber Producers, Houston, TX.Toxicological Sciences, 2004
- GENETIC POLYMORPHISMS IN ETHANOL METABOLISM: ISSUES AND GOALS FOR PHYSIOLOGICALLY BASED PHARMACOKINETIC MODELING*Drug and Chemical Toxicology, 2000
- Estimation of Systemic Toxicity of Acrylamide by Integration of in Vitro Toxicity Data with Kinetic SimulationsToxicology and Applied Pharmacology, 1999
- Physiological Parameter Values for Physiologically Based Pharmacokinetic ModelsToxicology and Industrial Health, 1997
- Risk Assessment Extrapolations and Physiological ModelingToxicology and Industrial Health, 1985