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Data mining in drug discovery / edited by Rémy D. Hoffmann, Arnaud Gohier, and Pavel Pospisil.
- Format:
- Book
- Series:
- Methods and principles in medicinal chemistry ; v. 57.
- Methods and principles in medicinal chemistry ; vol. 57
- Language:
- English
- Subjects (All):
- Drug development--Computer simulation.
- Drug development.
- Data mining.
- Drugs--Research.
- Drugs.
- Physical Description:
- 1 online resource (347 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Weinheim : Wiley-VCH, [2014]
- Language Note:
- English
- Summary:
- 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
- Contents:
- part one. Data sources
- part two. Analysis and enrichment
- part three. Applications to polypharmacology
- part four. system biology approaches.
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- Description based on online resource; title from PDF title page (ebrary, viewed October 10, 2013).
- Current copyright fee: GBP28.00 35\0.
- ISBN:
- 9783527656004
- 3527656006
- 9783527655984
- 3527655980
- 9783527656011
- 3527656014
- OCLC:
- 862830262
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