Pharmaceutical Data Mining
Approaches and Applications for Drug Discovery
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Beschreibung
Leading experts illustrate how sophisticated computational datamining techniques can impact contemporary drug discovery anddevelopment
In the era of post-genomic drug development, extracting andapplying knowledge from chemical, biological, and clinical data isone of the greatest challenges facing the pharmaceutical industry.Pharmaceutical Data Mining brings together contributions fromleading academic and industrial scientists, who address both theimplementation of new data mining technologies and applicationissues in the industry. This accessible, comprehensive collectiondiscusses important theoretical and practical aspects ofpharmaceutical data mining, focusing on diverse approaches for drugdiscovery--including chemogenomics, toxicogenomics, andindividual drug response prediction. The five main sections of thisvolume cover:
* A general overview of the discipline, from its foundations tocontemporary industrial applications
* Chemoinformatics-based applications
* Bioinformatics-based applications
* Data mining methods in clinical development
* Data mining algorithms, technologies, and software tools, withemphasis on advanced algorithms and software that are currentlyused in the industry or represent promising approaches
In one concentrated reference, Pharmaceutical Data Miningreveals the role and possibilities of these sophisticatedtechniques in contemporary drug discovery and development. It isideal for graduate-level courses covering pharmaceutical science,computational chemistry, and bioinformatics. In addition, itprovides insight to pharmaceutical scientists, principalinvestigators, principal scientists, research directors, and allscientists working in the field of drug discovery and developmentand associated industries.
Autor*in
Konstantin V. Balakin
Themen in »Pharmaceutical Data Mining«
Arzneimittelentwicklung Bioinformatics & Computational Biology Bioinformatik Bioinformatik u. Computersimulationen in der Biowissenschaften Biowissenschaften Chemie Chemistry Computational Chemistry & Molecular Modeling Computational Chemistry u. Molecular Modeling Drug Discovery & Development Life Sciences Pharmazeutische Chemie Wirkstoffforschung u. -entwicklung
Stimmen zu »Pharmaceutical Data Mining«
"Its strength is that it gives beginners a good impression of ourcontemporary data jungle." (ChemMedChem, 2010)
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