New Article: Evaluation of the Success of High-Throughput...

06.05.2022

... Physiologically Based Pharmacokinetic (HT-PBPK) Modeling Predictions to Inform Early Drug Discovery! In conclusion, a bottom-up PBPK and HT-PBPK approach can successfully predict the PK parameters and guide early discovery by informing compound prioritization, provided that good in vitro assays are in place for key parameters such as clearance.

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

© 2022 American Chemical Society

Graphical abstract

© 2022 American Chemical Society

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