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OverviewComputational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides innovative visualisation approaches, from both the drug discovery process as well as from other fields that utilise large datasets, recognising the increasing use of such technology. Serving the needs of early career and more experienced scientists, this up-to-date reference provides an essential introduction to the process and background of drug discovery, highlighting how computational researchers can contribute to that pipeline. Full Product DetailsAuthor: William T. Loging (Mount Sinai School of Medicine, New York)Publisher: Cambridge University Press Imprint: Cambridge University Press Dimensions: Width: 17.80cm , Height: 1.50cm , Length: 25.10cm Weight: 0.650kg ISBN: 9780521768009ISBN 10: 0521768004 Pages: 244 Publication Date: 17 March 2016 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsForeword; Preface: the future of drug discovery and health care Eric Schadt; 1. The art and science of the Drug Discovery Pipeline (DDP) William T. Loging; 2. Computational approaches to drug target identification Thomas B. Freeman and Pek Lum; 3. Understanding human disease knowledge through text mining Raul Rodriguez-Esteban; 4. Integrating translational biomarkers into drug development Jonathan Phillips; 5. Computational phenotypic assessment of small molecules in drug discovery William T. Loging and Thomas B. Freeman; 6. Data visualization and the DDP process Ke Xu; 7. Information visualization – important IT considerations Telmo Silva; 8. The New Drug Application (NDA) and regulatory approval stages William T. Loging, Marilyn Lewis, Bryn Williams-Jones and Roy Mansfield; 9. Clinical trial failures and drug repositioning Mark Crawford and Jeff Handler; Appendix I. Additional knowledge-based analysis approaches Raul Rodriguez-Esteban; Appendix II. Open source tools and public data sources Yirong Wang and William T. Loging; Index.ReviewsAdvance praise: 'We live in transformative times and perhaps big data and analytics represent a most interesting and essential concept of today. From the telescope to the microscope, our ability to peer into complexities of life has transformed humanity. Big data is the next major step in major transition. Bioinformatics and Computational Biology in Drug Discovery and Development is a road map to an inevitable future - a future where data define disease, diagnosis and drugs. This book is an essential companion for anyone in drug development who has one foot in the present and one in the future.' John Nosta, President, NOSTALAB 'We live in transformative times and perhaps big data and analytics represent a most interesting and essential concept of today. From the telescope to the microscope, our ability to peer into complexities of life has transformed humanity. Big data is the next major step in major transition. Bioinformatics and Computational Biology in Drug Discovery and Development is a road map to an inevitable future - a future where data define disease, diagnosis and drugs. This book is an essential companion for anyone in drug development who has one foot in the present and one in the future.' John Nosta, President, NOSTALAB We live in transformative times and perhaps big data and analytics represent a most interesting and essential concept of today. From the telescope to the microscope, our ability to peer into complexities of life has transformed humanity. Big data is the next major step in major transition. Bioinformatics and Computational Biology in Drug Discovery and Development is a road map to an inevitable future - a future where data define disease, diagnosis and drugs. This book is an essential companion for anyone in drug development who has one foot in the present and one in the future. John Nosta, President, NOSTALAB Author InformationWilliam T. Loging is Associate Professor of Genetics and Genomic Sciences and Director of Production Bioinformatics at the Icahn School of Medicine at Mount Sinai, New York. An award-winning expert who has worked on many successful drug development projects, his current research focuses on generating treatments for diseases, with patents secured for his work in both oncology and immunology. Tab Content 6Author Website:Countries AvailableAll regions |
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