New Tools in ADME Prediction: Quantitative Omics, Liquid Biopsies and Modeling
Monday April 06, 2020
Eastern Time (ET)
Room 15 A
University of Washington
Characterization of variability in drug disposition is important for clinical study design and individualized drug treatment. As variability in drug disposition cannot be completely described by genetics, characterization of phenotypic variability is critical. This has fostered the development of plasma-derived exosomes as liquid biopsy and endogenous biomarkers for the prediction of drug metabolism and transport. Integration of metabolomics and proteomics data into physiologically-based pharmacokinetic models also supports data translational for better prediction of drug disposition. This symposium will provide an update on various non-invasive and in silico approaches to drive the prediction of in vivo drug disposition.
- Flinders University
Exosomes for Prediction of Interindividual Variability in DMEs: How are they Different from Small Molecule Biomarkers?
- University of Manchester
Modelling and Simulation to Support Qualification of Endogenous Transporter Biomarkers
Utility of Drug Transporter Proteomics to Drive Translational ADME: Modeling of Transporter-mediated Disposition in Non-alcoholic Steatohepatitis (NASH)
- University of Washington
Predicting Renal Clearance of Morphine and Morphine-6-glucuronide using the "Organ-on-a-Chip"
Technology and Physiologically-based Pharmacokinetic Modeling