160 pages | 32 B/W Illus.
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.
". . . 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
James M. Dixon
Neurally Inspired Algorithms as Computational Tools
Mark Flynn and Garrett T. Kenyon
Using Pharmacodynamic Biomarkers to Accelerate Early Clinical Drug Development
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