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Hoffmann, Rémy D.

Data Mining in Drug Discovery

Hoffmann, Rémy D. - Data Mining in Drug Discovery, ebook

156,25€

Ebook, ePUB with Adobe DRM
ISBN: 9783527656004
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Printing114 pages with an additional page accrued every 7 hours, capped at 114 pages
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Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientific data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine.
After a general introduction to the topic, common data mining tools for chemical, biological, text and other data types are described, including second order tools that combine information from multiple sources. The next section compares the different data sources available, both commercial and non-commercial. The main section of the book is devoted to the most common drug discovery applications where data mining can substantially enhance the research effort.
Throughout the book, industrial and academic drug discovery strategies are addressed, with contributors coming from both areas, enabling an informed decision on when and which data mining tools to use for one's own drug discovery project.

Keywords: Drug Discovery & Development, compound screening, scientific data mining, data mining drug discovery, data mining tools, chemistry data mining, biology data mining, side effects prediction, personalized medicine

Author(s)
 
 
 
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2013
Language
en
Edition
1
Series
Methods and Principles in Medicinal Chemistry
Page amount
380 pages
Category
Medicine, Health Care, Mode
Format
Ebook
eISBN (ePUB)
9783527656004
Printed ISBN
9783527329847

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