Data Mining in Drug Discovery

Nonfiction, Health & Well Being, Medical, Medical Science, Pharmacology
Cover of the book Data Mining in Drug Discovery by Raimund Mannhold, Hugo Kubinyi, Gerd Folkers, Wiley
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Author: Raimund Mannhold, Hugo Kubinyi, Gerd Folkers ISBN: 9783527656004
Publisher: Wiley Publication: September 25, 2013
Imprint: Wiley-VCH Language: English
Author: Raimund Mannhold, Hugo Kubinyi, Gerd Folkers
ISBN: 9783527656004
Publisher: Wiley
Publication: September 25, 2013
Imprint: Wiley-VCH
Language: English

Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches for compound testing.
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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches for compound testing.
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.

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