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Patrick Barton

Associate Professor Drug Discovery,

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Biography

I gained my first degree in Chemistry and subsequent PhD in enzyme kinetics working with Professor Mike Page probing the structure activity relationships of esterase catalyzed reactions of lactones and cyclic carbonates.

I have 20 years experience in the pharmaceutical industry working in Drug Discovery for Fisons Pharmaceuticals, Astra and finally AstraZeneca. The main therapy areas I have worked in are respiratory, inflammation, cardiovascular and Oncology. My main research interests during this time were in drug metabolism and pharmacokinetics understanding the properties that control clearance, absorption and disposition of potential new drugs together with the extrapolation of pre-clinical in-vitro and In-vivo data for the prediction of human pharmacokinetics.

During my time in the Pharmaceutical industry I held the positions of group leader of Computational and Physical Chemistry, Associate Director of Discovery Drug Metabolism and Global leader of Predictive Drug Metabolism.

I was particularly proud to be a member of the team responsible for the discovery of Brilinta, a drug for the treatment of cardiovascular disease.

In 2013 I moved back to academia and was appointed Associate Professor in Drug discovery in School of Life Sciences.

Teaching Summary

I currently teach a module in drug metabolism and pharmacokinetics of the MSc in Drug Discovery

Research Summary

My research interests focus on the role of drug metabolism, pharmacokinetics and physical chemistry in the drug discovery process. In particular understanding these processes at the molecular level… read more

Recent Publications

Current Research

My research interests focus on the role of drug metabolism, pharmacokinetics and physical chemistry in the drug discovery process. In particular understanding these processes at the molecular level and using this information in the design of potential new drugs using in-vitro and in-silico methodologies.

· Extrapolation of pre-clinical in-vitro and In-vivo data for the prediction of human pharmacokinetics

· PK, PKPD, PBPK Modeling and Simulation

· Drug transporters in understanding drug clearance, disposition and toxicity

· In-Silico modeling methodologies for the prediction of ADME (T) properties

· Structure - property relationships and their applicability to understanding drug metabolism and disposition.

· Multi-parametric optimization methods as applied to drug metabolism and pharmacokinetics

· Bioanalytical Methods

School of Life Sciences

University of Nottingham
Medical School
Queen's Medical Centre
Nottingham NG7 2UH

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