Translational Bioinformatics: Data-driven Drug Discovery and Development

被引：14

作者：

Butte, A. J. ^{[1
,2
]}

Ito, S. ^{[3
]}

机构：

[1] Stanford Univ, Dept Pediat, Sch Med, Div Syst Med, Stanford, CA 94305 USA

[2] Lucile Packard Childrens Hosp, Palo Alto, CA USA

[3] Hosp Sick Children, Div Clin Pharmacol & Toxicol, Toronto, ON M5G 1X8, Canada

来源：

CLINICAL PHARMACOLOGY & THERAPEUTICS | 2012年 / 91卷 / 06期

关键词：

D O I：

10.1038/clpt.2012.55

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Internet-accessible computing power and data-sharing mandates now enable researchers to interrogate thousands of publicly available databases containing molecular, clinical, and epidemiological data. With emerging new approaches, translational bioinformatics can now provide answers to previously untouchable questions, ranging from detecting population signals of adverse drug reactions to clinical interpretation of the whole genome. There are challenges, including lack of access to some data sources and software, but there are also overwhelming doses of hopes and expectations.

引用

页码：949 / 952

页数：4

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