Pharmacology Primer

A Pharmacology Primer: Techniques for More Effective and Strategic Drug Discovery, 6th Edition features the latest ideas and research about the application of pharmacology to the process of drug discovery to equip readers with a deeper understanding of the complex and rapid changes in this field. Written by well-respected pharmacologist, Terry P. Kenakin, this primer is an indispensable resource for all those involved in drug discovery. This edition has been reorganized for better flow and clarity and thoroughly revised to include material on new technologies for screening (virtual, DNA encoded libraires, fragment-based) and a major section on phenotypic (target agnostic) screening for new leads and determination of new drug targets. With full color illustrations as well as new examples throughout, A Pharmacology Primer remains a top reference for all industry and academic scientists and students directly involved in drug discovery or pharmacologic research.  Further new material includes a discussion of the determination of target engagement, including numerous new ways to demonstrate the physical interaction of molecules with drug targets. New drug candidates such a mRNA, Gene therapy, antibodies will be added, as well as information on CRISPR and genomics. Finally, the translation of test data to in vivo therapies as a major hurdle in discovery will be discussed in light of new technologies (i.e. DREADs). The new edition of A Pharmacology Primer is an essential resource for those learning or working in pharmacology and related fields.   Highlights changes surrounding the strategy of drug discovery providing a comprehensive reference featuring advances in the methods involved in lead optimization and more effective drug discovery Includes multiple new sections including new technologies for screening, phenotypic (target agnostic) screening for new leads, and determination of new drug targets Illustrates the application of rapid inexpensive assays to predict activity in the therapeutic setting, showing data outcomes and the limitations inherent in interpreting this data Includes test questions and answers