Cargando…
Development of a Dynamic Physiologically Based Mechanistic Kidney Model to Predict Renal Clearance
Renal clearance is usually predicted via empirical approaches including quantitative structure activity relationship and allometric scaling. Recently, mechanistic prediction approaches using in silico kidney models have been proposed. However, empirical scaling factors are typically used to adjust f...
Autores principales: | Huang, Weize, Isoherranen, Nina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157663/ https://www.ncbi.nlm.nih.gov/pubmed/30043446 http://dx.doi.org/10.1002/psp4.12321 |
Ejemplares similares
-
Novel Mechanistic PBPK Model to Predict Renal Clearance in Varying Stages of CKD by Incorporating Tubular Adaptation and Dynamic Passive Reabsorption
por: Huang, Weize, et al.
Publicado: (2020) -
Application of a physiologically based pharmacokinetic model to predict isoniazid disposition during pregnancy
por: Amaeze, Ogochukwu U., et al.
Publicado: (2023) -
Novel minimal physiologically-based model for the prediction of passive tubular reabsorption and renal excretion clearance
por: Scotcher, Daniel, et al.
Publicado: (2016) -
Bridging the gap between in silico and in vivo by modeling opioid disposition in a kidney proximal tubule microphysiological system
por: Imaoka, Tomoki, et al.
Publicado: (2021) -
Mechanistic considerations in benzene physiological model development.
por: Medinsky, M A, et al.
Publicado: (1996)