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Description

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.
Pages
352 pages
Collection
Methods & Principles in Medicinal Chemistry
Parution
2013-09-25
Marque
Wiley-VCH
EAN papier
9783527329847
EAN PDF
9783527656011

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
12360 Ko
Prix
178,82 €
EAN EPUB
9783527656004

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
7086 Ko
Prix
178,82 €