Bioinformatics and computational biology in drug discovery and development
- edited by William T. Loging, PhD (Associate Professor of Genetics and Genomic Sciences, Director of Production Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY).
- Cambridge, United Kingdom : Cambridge University Press, 2016.
- Copyright notice
- Physical description
- xi, 233 pages, 8 unnumbered pages of plates : illustrations (some color) ; 26 cm
At the library
Science Library (Li and Ma)
|RS420 .B56 2016||Unknown|
- Loging, William T., editor.
- Includes bibliographical references and index.
- Foreword-- 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.
- (source: Nielsen Book Data)
Computational 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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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.
(source: Nielsen Book Data)
- Publication date
- Copyright date
- 9780521768009 (hardback)
- 0521768004 (hardback)
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