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In this episode of the Pharmaron DMPK Insights Podcast Series, Simon Taylor and Dr. Emile Chen discuss the relationship of drug concentration and effect (PKPD). PKPD is critical to decision making from initial modality selection, through molecule optimization, translational science and clinical dosage planning. Simon and Emile discuss the concepts and practical applications of PKPD and explore the concept of model-based target pharmacology assessment in combination with physiologically based pharmacokinetic-pharmacodynamic (PBPK-PD) modelling to improve decision making.*
* Model-based Target Pharmacology Assessment (mTPA): An Approach Using PBPK/PD Modeling and Machine Learning to Design Medicinal Chemistry and DMPK Strategies in Early Drug Discovery”, J Med Chem. 2021 Mar 25;64(6):3185-3196.
We will address the following points:
- What is PKPD and its importance throughout a discovery project lifecycle
- How PKPD can be used to guide decision making including case study examples
- How a combination of physiologically based pharmacokinetic/ pharmacodynamic (PBPK/PD) modeling and machine learning (ML) can be used to elucidate the optimal combination of properties for the targeted pharmacology
Our Moderator:
Simon Taylor – Vice President, Drug Discovery at Pharmaron
Simon Taylor is Vice President of Drug Discovery and is based in Hoddesdon, UK. With over 27 years of industry experience, he is responsible for DMPK/ADME and PKPD strategy, including human extrapolation and PBPK modelling and simulation, for Pharmaron’s integrated drug discovery projects from early discovery through to IND submission. Before Pharmaron, Simon worked at GSK for 20 years, leading DMPK and Quantitative Pharmacology teams and projects from the Hit Identification stage through to the clinic. He has worked across respiratory, inflammation, oncology, and cardiovascular therapy areas with drugs of varying routes of administration. Simon has a BSc in Pharmacology from the University of Leeds and an MSc in Model Based Drug Development from the University of Manchester. He has co-authored over 30 scientific publications in the literature.
Our Speakers:
Dr. Emile Chen – Formerly Director, Modeling and Translational Biology at GlaxoSmithKline
Dr. Emile Chen has thirty years of industrial experience divided between early discovery involved in lead optimization and candidate selection, and late-stage development, including authoring and reviewing of regulatory documentation and NDA submission. Until March 2024, he was in the System Modeling and Translational Biology group, using PBPK, Mechanistic PKPD modeling, QSP, and machine learning techniques to solve project questions and thereby enhance scientific productivity.
Emile received his undergraduate degree from the University of California, Los Angeles, and his PhD from Northwestern University in the field of Biomedical Engineering, specializing in the development of mathematical models for information processing in the brain. He began his pharmaceutical career at Hoffmann-La Roche in 1993, following a postdoctoral fellowship at the University of California, San Francisco. He joined GlaxoSmithKline in 1996. Over the years, he has led ADME and PK groups at various times, supporting both early discovery and late development DMPK efforts. More recently, r
Stay tuned for more podcasts in our Pharmaron DMPK Insights Series!