Quantitative Molecular Pharmacology and Informatics in Drug Discovery

Quantitative Molecular Pharmacology and Informatics in Drug Discovery Michael Lutz, Section Head, Cheminformatics Group and Terry Kenakin, Principal Research Scientist, Glaxo Wellcome Research and Development, Research Triangle Park, NC, USA Quantitative Molecular Pharmacology and Informatics in Drug Discovery combines pharmacology, genetics and statistics to provide a complete guide to the modern drug discovery process. The book discusses the pharmacology of drug testing and provides a detailed description of the statistical methods used to analyze the resulting data. Application of genetic and genomic tools for identification of biological targets is reviewed in the context of drug discovery projects. Covering both the theoretical principles upon which the techniques are based and the practicalities of drug discovery, this informative guide.
* outlines in step-by-step detail the advantages and disadvantages of each technology and approach and links these to the type of chemical target being sought after in the drug discovery process; and,
* provides excellent demonstrations of how to use powerful pharmacological and statistical tools to optimize high-throughput screening assays.
Written by two internationally known and well-regarded experts, this book is an essential reference for research and development scientists working in the pharmaceutical and biotechnology industries. It will also be useful for postgraduates studying pharmacology and applied statistics.Der Informationsbedarf der pharmazeutischen Industrie ist ungewöhnlich komplex und kostspielig. Immer mehr Unternehmen nutzen die Informationstechnologie für Forschung und Versuchsprozesse, um Kosten zu senken, das Produkt schnell auf den Markt zu bringen und zu prognostizieren, ob sich das Produkt erfolgreich etabliert oder nicht. Diese Entwicklungen haben einen neuen Bereich hervorgebracht: Die Bioinformatik, eine Kombination aus Informationstechnologie, Informatik und Biochemie. Dieser Band vermittelt das nötige Hintergrundwissen zur quantitativen Molekularpharmakologie. Behandelt werden die jüngsten wissenschaftlichen und technischen Fortschritte, die neue Modelle für die pharmazeutische Forschung hervorgebracht haben. Ein unverzichtbarer Leitfaden für die Umsetzung dieser neuen Möglichkeiten. (10/99)


Drug Discovery.

Measurement of Drug Affinity.

Efficacy.

Pharmacological Assays Used in Screening for Therapeutic Ligands.

Finding the Optimal Assay Format for the Chemical Target.

Mathematical and Statistical Framework for Problems in Drug Discovery.

Statistical Methods for Target Identification and Validation.

Experimental Design.

Analysis and Interpretation of Data.

Index. "...a timely and important book..." "I recommend this book to pharmaceutical company statisticians..."
--Biometrics, September 2000

"...covers a tremendous amount of ground....I recommend this book to pharmaceutical statisticians..."
--Technometrics, 2000

Michael Lutz is the author of Quantitative Molecular Pharmacology and Informatics in Drug Discovery, published by Wiley.

Terry Kenakin is the author of Quantitative Molecular Pharmacology and Informatics in Drug Discovery, published by Wiley. Quantitative Molecular Pharmacology and Informatics in Drug Discovery Michael Lutz, Section Head, Cheminformatics Group and Terry Kenakin, Principal Research Scientist, Glaxo Wellcome Research and Development, Research Triangle Park, NC, USA Quantitative Molecular Pharmacology and Informatics in Drug Discovery combines pharmacology, genetics and statistics to provide a complete guide to the modern drug discovery process. The book discusses the pharmacology of drug testing and provides a detailed description of the statistical methods used to analyze the resulting data. Application of genetic and genomic tools for identification of biological targets is reviewed in the context of drug discovery projects. Covering both the theoretical principles upon which the techniques are based and the practicalities of drug discovery, this informative guide.
* outlines in step-by-step detail the advantages and disadvantages of each technology and approach and links these to the type of chemical target being sought after in the drug discovery process; and,
* provides excellent demonstrations of how to use powerful pharmacological and statistical tools to optimize high-throughput screening assays.
Written by two internationally known and well-regarded experts, this book is an essential reference for research and development scientists working in the pharmaceutical and biotechnology industries. It will also be useful for postgraduates studying pharmacology and applied statistics.