Bioinformatics and Computational Biology in Drug Discovery and Development

A comprehensive overview of the use of computational biology approaches in the drug discovery and development process.

William T. Loging (Edited by)

9781108461153, Cambridge University Press

Paperback / softback, published 19 July 2018

253 pages, 46 b/w illus. 9 colour illus. 3 tables
24.4 x 16.8 x 1.8 cm, 0.64 kg

'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

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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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.

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.

Subject Areas: Biotechnology [TCB], Biology, life sciences [PS], Mathematics & science [P]