'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
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.