Functional Informatics in Drug Discovery
CRC Press, Aug 27, 2007 - Science - 160 pages
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.
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Chapter 1 Intelligent Automation
Chapter 2 Neurally Inspired Algorithms as Computational Tools
Chapter 3 Using Pharmacodynamic Biomarkers to Accelerate Early Clinical Drug Development
Chapter 4 Opportunities in CNS Drug Discovery and Development
Chapter 5 Clinical Success of Antibody Therapeutics in Oncology
Chapter 6 Relating Target Sequence to Biological Function
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Acad activity algorithm analysis antigen antisense apoptosis approach array aspirin assay automation behavioral binding bioinformatics Biol biological biomarker methods brain cDNA cellular Chem clinical drug development complex cortex cytotoxic Development LLC disease disulfide bond doxorubicin drug discovery early clinical drug encoding enhanced evaluation experimentation expression libraries forward genetic functional gene expression gene silencing genetic selection genome human identify IgG1 IgG4 immune-effector immunoconjugates inhibition inhibitors input Johnson & Johnson Johnson Pharmaceutical Research kinase linker liposomes mammalian cells microarray molecular molecules monoclonal antibody multiple Natl neural neurons Neurosci novel olfactory olfactory system optimization pathways PD biomarker PD effects peptide phenotype potential Proc processing protein protein microarrays protein-microarray proteomic receptor response ribozyme rituximab RNA amplification samples screening sequence signaling simplex siRNAs specific spiking studies synchronous oscillations target technologies temporal temporal coding therapeutic therapy tissue tumor cells validation visual vitro vivo