Bioinformatics and Computational Biology in Drug Discovery and Development

Nonfiction, Science & Nature, Science, Biological Sciences, Genetics, Technology
Cover of the book Bioinformatics and Computational Biology in Drug Discovery and Development by , Cambridge University Press
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Author: ISBN: 9781316537527
Publisher: Cambridge University Press Publication: March 17, 2016
Imprint: Cambridge University Press Language: English
Author:
ISBN: 9781316537527
Publisher: Cambridge University Press
Publication: March 17, 2016
Imprint: Cambridge University Press
Language: English

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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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

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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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

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