Bioinformatics and Computational Biology in Drug Discovery and Development (Paperback)

William T. Loging

ISBN 10: 1108461158 / ISBN 13: 9781108461153

Published by Cambridge University Press, Cambridge, 2018

About this Item

Paperback. 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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9781108461153

Bibliographic Details

• Title: Bioinformatics and Computational Biology in Drug Discovery and Development (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2018
• Language: English
• ISBN 10: 1108461158
• ISBN 13: 9781108461153
• Binding: Paperback
• Condition: new

About this title

Synopsis

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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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

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.