Functional Informatics in Drug Discovery: 1st Edition (Hardback) book cover

Functional Informatics in Drug Discovery

1st Edition

Edited by Sergey Ilyin

CRC Press

160 pages | 32 B/W Illus.

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Hardback: 9781574444667
pub: 2007-08-27
eBook (VitalSource) : 9780429134340
pub: 2007-08-27
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Integrating various technologies with informational systems provides vast improvements to the overall research and development that occur in the biopharmaceutical industry. One of the first books to explore this area, Functional Informatics in Drug Discovery examines all aspects of technology integration and information flow in a biopharmaceutical enterprise and outlines the specific technologies used at various stages of drug development.

With contributions from leaders in academia, information technology, and the pharmaceutical industry, each chapter illustrates how a particular area of biological science can benefit from the tools of informatics. The book first looks at intelligent automation, neurally based computational tools, and pharmacodynamic (PD) biomarkers. It then reviews a variety of novel technologies and approaches presently used in drug discovery at Johnson & Johnson. The text also describes how informatics can advance antibody technology and drug development for oncology. After focusing on forward genetic and reverse genetic strategies to identify relevant target genes for drug discovery, the book explains proteomic expression profiling and explores the application of laser microdissection in transcriptomics.

Taking a systematic approach, this volume examines the impact of informatics tools on various areas in biopharmaceuticals by presenting in-depth analyses of emerging trends and future opportunities.

Daniel E. Levy, editor of the Drug Discovery Series, is the founder of DEL BioPharma, a consulting service for drug discovery programs. He also maintains a blog that explores organic chemistry.


". . . written in an accessible style, explain scientifically complex aspects of modern drug discovery research in a concise manner, and are by and large well referenced, thereby providing the reader with a sound basis for further studies . . . to a drug-discovery-oriented audience, it certainly has a number of interesting things to offer and is a meaningful addition to a series of drug discovery publications."

– Jürgen Bajorath, University of Bonn, in ChemMedChem, 2008, No. 3

"This book will be of interest to medicinal chemists and other pharmaceutical scientists involved in expanding their knowledge of rapidly evolving functional informative techniques . . . The chapters are quite readable, relatively free of typographical errors, and well referenced to work published up to 2004. There is a good subject index."

– Peter Gund, Gund Discovery Services, in Journal of Medicinal Chemistry, 2008, Vol. 51, No. 8

Table of Contents


Intelligent Automation

James M. Dixon

Neurally Inspired Algorithms as Computational Tools

Mark Flynn and Garrett T. Kenyon

Using Pharmacodynamic Biomarkers to Accelerate Early Clinical Drug Development

Ole Vesterqvist

Opportunities in CNS Drug Discovery and Development

Albert Pinhasov, Anil H. Vaidya, Hong Xin, Daniel Horowitz, Daniel Rosenthal, Douglas E. Brenneman, Ewa Malatynska, Sergey E. Ilyin, and Carlos R. Plata-Salamán

Clinical Success of Antibody Therapeutics in Oncology

Bernard J. Scallon, Linda A. Snyder, G. Mark Anderson, Qiming Chen, Li Yan, and Marian T. Nakada

Relating Target Sequence to Biological Function

Greg M. Arndt

Use of Protein Microarrays for Molecular Network Analysis and Signal-Pathway Profiling

Katherine R. Calvo, Lance A. Liotta, and Emanuel F. Petricoin

Laser Microdissection-Based Transcriptomics Using Microarrays

Fredrik Kamme, Berndt Meurers, Jessica Zhu, Da-Thao Tran, Jingxue Yu, Changlu Liu, Andrew Carmen, and Bingren Hu


About the Authors/Editor

Ilyin\, Sergey

About the Series

Drug Discovery Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MEDICAL / Pharmacy
SCIENCE / Biotechnology
SCIENCE / Chemistry / General