Cargando…
Population PBPK modeling using parametric and nonparametric methods of the Simcyp Simulator, and Bayesian samplers
Physiologically‐based pharmacokinetic (PBPK) models usually include a large number of parameters whose values are obtained using in vitro to in vivo extrapolation. However, such extrapolations can be uncertain and may benefit from inclusion of evidence from clinical observations via parametric infer...
Autores principales: | Wedagedera, Janak R., Afuape, Anthonia, Chirumamilla, Siri Kalyan, Momiji, Hiroshi, Leary, Robert, Dunlavey, Mike, Matthews, Richard, Abduljalil, Khaled, Jamei, Masoud, Bois, Frederic Y. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197540/ https://www.ncbi.nlm.nih.gov/pubmed/35385609 http://dx.doi.org/10.1002/psp4.12787 |
Ejemplares similares
-
SimRFlow: An R-based workflow for automated high-throughput PBPK simulation with the Simcyp(®) simulator
por: Khalidi, Hiba, et al.
Publicado: (2022) -
A Tutorial on Pharmacodynamic Scripting Facility in Simcyp
por: Abduljalil, K, et al.
Publicado: (2016) -
Mechanistic PBPK Modelling to Predict the Advantage of the Salt Form of a Drug When Dosed with Acid Reducing Agents
por: Chirumamilla, Siri Kalyan, et al.
Publicado: (2021) -
Application of Physiologically Based Pharmacokinetic (PBPK) Modeling Within a Bayesian Framework to Identify Poor Metabolizers of Efavirenz (PM), Using a Test Dose of Efavirenz
por: Chetty, Manoranjenni, et al.
Publicado: (2018) -
Guide to development of compound files for PBPK modeling in the Simcyp population‐based simulator
por: Ezuruike, Udoamaka, et al.
Publicado: (2022)