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Look Inside Bioinformatics and Computational Biology in Drug Discovery and Development
eBook forthcoming

Bioinformatics and Computational Biology in Drug Discovery and Development

CAD$85.95 (P)

Eric Schadt, William T. Loging, Thomas B. Freeman, Pek Lum, Raul Rodriguez-Esteban, Jonathan Phillips, Ke Xu, Telmo Silva, Marilyn Lewis, Bryn Williams-Jones, Roy Mansfield, Mark Crawford, Jeff Handler, Yirong Wang
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  • Date Published: April 2016
  • availability: In stock
  • format: Hardback
  • isbn: 9780521768009

CAD$ 85.95 (P)
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About the Authors
  • 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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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.

    • Features previously unpublished real-life case studies of computational biology approaches currently being used in different phases of the drug discovery pipeline
    • Exposes readers to the different concepts of drug discovery through a written and graphical interpretation of the process, with a specific focus on features critical for its success
    • Provides a summary of open source tools and example datasets currently utilised in drug discovery and development, an essential resource for both new and experienced researchers
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    Reviews & endorsements

    "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

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    Product details

    • Date Published: April 2016
    • format: Hardback
    • isbn: 9780521768009
    • length: 244 pages
    • dimensions: 251 x 178 x 15 mm
    • weight: 0.65kg
    • contains: 46 b/w illus. 9 colour illus. 3 tables
    • availability: In stock
  • Table 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.

  • Editor

    William T. Loging
    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.

    Contributors

    Eric Schadt, William T. Loging, Thomas B. Freeman, Pek Lum, Raul Rodriguez-Esteban, Jonathan Phillips, Ke Xu, Telmo Silva, Marilyn Lewis, Bryn Williams-Jones, Roy Mansfield, Mark Crawford, Jeff Handler, Yirong Wang

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