Putting Pharmacokinetics and Pharmacodynamics to Work in Drug Discovery
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- ISBN 9781119650201
- Weight: 1157g
- Dimensions: 208 x 257mm
- Publication Date: 09 May 2025
- Publisher: John Wiley & Sons Inc
- Publication City/Country: US
- Product Form: Hardback
- Language: English
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Develop drugs with a greater understanding of their physiological effects
Pharmaceutical scientists in the fields of pharmacokinetics and pharmacodynamics study how drugs behave in the body and how they reach their site of action to exert their intended pharmacological activities. Drug discovery stands to benefit enormously from the timely application of pharmacokinetics and pharmacodynamics in order to make informed decisions and solve practical problems.
Putting Pharmacokinetics and Pharmacodynamics to Work in Drug Discovery bridges between scientific concepts and practical industrial practice by bringing these principles to bear on every stage of the drug discovery process. Beginning with target identification and moving through each subsequent decision point including high throughput screening, hit-to-lead, lead optimization and candidate selection. The book offers a comprehensive guide to using various analytical tools including modeling and AI/ML for minimizing attrition, reducing costs, and more. The result is an invaluable tool in developing smarter and more effective drug discovery processes.
Putting Pharmacokinetics and Pharmacodynamics to Work in Drug Discovery readers will also find:
- A work designed to make scientific principles accessible to pharmaceutical scientists in diverse areas, not just pharmacokinetists or DMPK scientists
- Industrial examples, both positive and negative, showing pharmacokinetic and pharmacodynamic principles at work
- Exercises throughout the book to encourage holistic and integrated thinking
Putting Pharmacokinetics and Pharmacodynamics to Work in Drug Discovery is ideal for any researchers or professionals involved in drug discovery and development, including medicinal chemists, biopharmaceutics scientists, clinicians, project leaders, and many others.
Emile P. Chen, PhD, was Director of Modeling and Translational Biology at GlaxoSmithKline. He has over 30 years of industrial experience with expertise in pharmacokinetics, pharmacodynamics, mathematical modeling (PBPK, PK/ PD and QSP), and AI/ML and has designed numerous interactive workshops focused on the applications of these subjects in drug discovery.
