Data Mining in Drug Discovery.

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 sect...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hoffmann, Rémy D.
Otros Autores: Gohier, Arnaud, Pospisil, Pavel, Mannhold, Raimund, Kubinyi, Hugo, Folkers, Gerd
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Wiley, 2013.
Colección:Methods and principles in medicinal chemistry.
Temas:
Drug development > Computer simulation.
Data mining.
Drugs > Research.
Data Mining
Médicaments > Développement > Simulation par ordinateur.
Exploration de données (Informatique)
Médicaments > Recherche.
Data mining
Drugs > Research
Acceso en línea:Texto completo
Descripción
Sumario: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 c.
Notas:4.3.3 Use of Enhanced Stereochemistry.
Descripción Física:1 online resource (347 pages)
ISBN:9783527656011
3527656014

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