Bin Chen, Huijun Wang, Ying Ding, David Wild Semantic Breakthrough in Drug Discovery 9781627054508

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Автор: Bin Chen, Huijun Wang, Ying Ding, David Wild
Название: Semantic Breakthrough in Drug Discovery
ISBN: 9781627054508
Издательство: Mare Nostrum (Eurospan)
Классификация:

Искусственный интеллект

ISBN-10: 1627054502
Обложка/Формат: Paperback
Страницы: 142
Вес: 0.26 кг.
Дата издания: 30.10.2014
Серия: Synthesis lectures on the semantic web: theory and technology
Язык: English
Иллюстрации: Black & white illustrations
Размер: 235 x 191 x 8
Читательская аудитория: General (us: trade)
Ключевые слова: Artificial intelligence
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Поставляется из: Англии
Описание: 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.

Semantic Breakthrough in Drug Discovery, Bin Chen, Huijun Wang, Ying Ding, David Wild