9783319445328-3319445324-Systems Pharmacology and Pharmacodynamics (AAPS Advances in the Pharmaceutical Sciences Series, 23)

Systems Pharmacology and Pharmacodynamics (AAPS Advances in the Pharmaceutical Sciences Series, 23)

ISBN-13: 9783319445328
ISBN-10: 3319445324
Edition: 1st ed. 2016
Author: Donald E. Mager, Holly H.C. Kimko
Publication date: 2016
Publisher: Springer
Format: Hardcover 524 pages
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Book details

ISBN-13: 9783319445328
ISBN-10: 3319445324
Edition: 1st ed. 2016
Author: Donald E. Mager, Holly H.C. Kimko
Publication date: 2016
Publisher: Springer
Format: Hardcover 524 pages

Summary

Systems Pharmacology and Pharmacodynamics (AAPS Advances in the Pharmaceutical Sciences Series, 23) (ISBN-13: 9783319445328 and ISBN-10: 3319445324), written by authors Donald E. Mager, Holly H.C. Kimko, was published by Springer in 2016. With an overall rating of 4.1 stars, it's a notable title among other Biochemistry (Chemistry, Biological Sciences) books. You can easily purchase or rent Systems Pharmacology and Pharmacodynamics (AAPS Advances in the Pharmaceutical Sciences Series, 23) (Hardcover) from BooksRun, along with many other new and used Biochemistry books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

While systems biology and pharmacodynamics have evolved in parallel, there are significant interrelationships that can enhance drug discovery and enable optimized therapy for each patient. Systems pharmacology is the relatively new discipline that is the interface between these two methods. This book is the first to cover the expertise from systems biology and pharmacodynamics researchers, describing how systems pharmacology may be developed and refined further to show practical applications in drug development. There is a growing awareness that pharmaceutical companies should reduce the high attrition in the pipeline due to insufficient efficacy or toxicity found in proof-of-concept and/or Phase II studies. Systems Pharmacology and Pharmacodynamics discusses the framework for integrating information obtained from understanding physiological/pathological pathways (normal body function system vs. perturbed system due to disease) and pharmacological targets in order to predict clinical efficacy and adverse events through iterations between mathematical modeling and experimentation.

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