Evaluation of the Success of High-Throughput Physiologically Based Pharmacokinetic (HT-PBPK) Modeling Predictions to Inform Early Drug Discovery

[Image: see text] Minimizing in vitro and in vivo testing in early drug discovery with the use of physiologically based pharmacokinetic (PBPK) modeling and machine learning (ML) approaches has the potential to reduce discovery cycle times and animal experimentation. However, the prediction success o...

Descripción completa

Detalles Bibliográficos
Autores principales: Naga, Doha, Parrott, Neil, Ecker, Gerhard F., Olivares-Morales, Andrés
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257750/
https://www.ncbi.nlm.nih.gov/pubmed/35476457
http://dx.doi.org/10.1021/acs.molpharmaceut.2c00040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257750/
https://www.ncbi.nlm.nih.gov/pubmed/35476457
http://dx.doi.org/10.1021/acs.molpharmaceut.2c00040

Ejemplares similares