The application of systems biology to drug discovery

被引：64

作者：

Cho, Carolyn R.

Labow, Mark

Reinhardt, Mischa

van Oostrum, Jan

Peitsch, Manuel C. ^{[1
]}

机构：

[1] Novartis AG, Novartis Inst Biomed Res, Dept Syst Biol Gen & Proteome Sci, CH-4002 Basel, Switzerland

[2] Novartis Inst Biomed Res, Dept Syst Biol Gen & Proteome Sci, Cambridge, MA 02139 USA

[3] Novartis Inst Biomed Res, Dept Platform Chem & Biol Gen & Proteome Sci, Cambridge, MA 02139 USA

[4] Novartis AG, Novartis Inst Biomed Res, Dept Sci Comp & Stat Genome & Proteome Sci, CH-4002 Basel, Switzerland

来源：

CURRENT OPINION IN CHEMICAL BIOLOGY | 2006年 / 10卷 / 04期

关键词：

D O I：

10.1016/j.cbpa.2006.06.025

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Recent advances in the 'omics' technologies, scientific computing and mathematical modeling of biological processes have started to fundamentally impact the way we approach drug discovery. Recent years have witnessed the development of genome-scale functional screens, large collections of reagents, protein microarrays, databases and algorithms for data and text mining. Taken together, they enable the unprecedented descriptions of complex biological systems, which are testable by mathematical modeling and simulation. While the methods and tools are advancing, it is their iterative and combinatorial application that defines the systems biology approach.

引用

页码：294 / 302

页数：9

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