Discovering the Targets of Drugs Via Computational Systems Biology

被引：27

作者：

Chua, Hon Nian ^{[1
]}

Roth, Frederick P. ^{[1
,2
]}

机构：

[1] Harvard Univ, Sch Med, Dept Biol Chem & Mol Pharmacol, Boston, MA 02115 USA

[2] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA

来源：

JOURNAL OF BIOLOGICAL CHEMISTRY | 2011年 / 286卷 / 27期

基金：

美国国家卫生研究院;

关键词：

MODE-OF-ACTION; INTERACTION NETWORKS; BIOACTIVE COMPOUNDS; EXPRESSION PROFILES; YEAST; GENOME; IDENTIFICATION; SCREEN; GENES; PREDICTION;

D O I：

10.1074/jbc.R110.174797

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：

Computational systems biology is empowering the study of drug action. Studies on biological effects of chemical compounds have increased in scale and accessibility, allowing integration with other large-scale experimental data types. Here, we review computational approaches for elucidating the mechanisms of both intended and undesirable effects of drugs, with the collective potential to change the nature of drug discovery and pharmacological therapy.

引用

页码：23653 / 23658

页数：6

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