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A comprehensive overview of the use of computational biology approaches in the drug discovery and development process.
List of contents
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.
About the author
William 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.
Summary
Providing a comprehensive overview of the drug discovery and development pipeline, this book focuses on the integral role that computational biology methods play in this process. Covering technological advances and their relation to drug developmental processes, readers are exposed to new methods of discovery utilising the available technology.
