Bin Chen
Semantic Breakthrough in Drug Discovery
Buch
The current drug development paradigm---sometimes expressed as, ``One disease, one target, one drug''---is under question, as relatively few drugs have reached the market in the last two decades. Meanwhile, the research focus of drug discovery is being placed on the study of drug action on biological systems as a whole, rather than on individual components of such systems. The vast amount of biological information about genes and proteins and their modulation by small molecules is pushing drug discovery to its next critical steps, involving the integration of chemical knowledge with these biological databases. Systematic integration of these…
Mehr
Beschreibung
The current drug development paradigm---sometimes expressed as, ``One disease, one target, one drug''---is under question, as relatively few drugs have reached the market in the last two decades. Meanwhile, the research focus of drug discovery is being placed on the study of drug action on biological systems as a whole, rather than on individual components of such systems. The vast amount of biological information about genes and proteins and their modulation by small molecules is pushing drug discovery to its next critical steps, involving the integration of chemical knowledge with these biological databases. Systematic integration of these heterogeneous datasets and the provision of algorithms to mine the integrated datasets would enable investigation of the complex mechanisms of drug action; however, traditional approaches face challenges in the representation and integration of multi-scale datasets, and in the discovery of underlying knowledge in the integrated datasets. The Semantic Web, envisioned to enable machines to understand and respond to complex human requests and to retrieve relevant, yet distributed, data, has the potential to trigger system-level chemical-biological innovations. Chem2Bio2RDF is presented as an example of utilizing Semantic Web technologies to enable intelligent analyses for drug discovery. Table of Contents: Introduction / Data Representation and Integration Using RDF / Data Representation and Integration Using OWL / Finding Complex Biological Relationships in PubMed Articles using Bio-LDA / Integrated Semantic Approach for Systems Chemical Biology Knowledge Discovery / Semantic Link Association Prediction / Conclusions / References / Authors' Biographies
CHF 56.90
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V103:
Folgt in ca. 5 Arbeitstagen
Produktdetails
Weitere Autoren: Wang, Huijun / Ding, Ying
- ISBN: 978-1-62705-450-8
- EAN: 9781627054508
- Produktnummer: 17202930
- Verlag: Morgan & Claypool Publishers
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 144 S.
- Masse: H23.5 cm x B19.1 cm x D0.8 cm 284 g
- Abbildungen: Paperback
- Gewicht: 284
34 weitere Werke von Bin Chen:
Ebook (PDF Format)
CHF 97.00
Ebook (PDF Format)
CHF 100.50
Ebook (PDF Format)
CHF 87.50
Bewertungen
0 von 0 Bewertungen
Anmelden
Keine Bewertungen gefunden. Seien Sie der Erste und teilen Sie Ihre Erkenntnisse mit anderen.