Evaluation of the Success of High-Throughput Physiologically Based Pharmacokinetic (HT-PBPK) Modeling Predictions to Inform Early Drug Discovery
Doha Naga, Neil Parrott, Gerhard F. Ecker, and Andrés Olivares-Morales
Molecular Pharmaceutics Article ASAP
DOI: 10.1021/acs.molpharmaceut.2c00040
© 2022 American Chemical Society
Abstract
Complete abstract is available at: https://doi.org/10.1021/acs.molpharmaceut.2c00040
Keywords
drug discovery, PBPK models, HT-PBPK, physicochemical properties, clearance predictions and machine learning
