Applications of Connectivity Map in drug discovery and development

被引：184

作者：

Qu, Xiaoyan A. ^{[1
]}

Rajpal, Deepak K. ^{[1
]}

机构：

[1] GlaxoSmithKline, Computat Biol, Res Triangle Pk, NC 27709 USA

来源：

DRUG DISCOVERY TODAY | 2012年 / 17卷 / 23-24期

关键词：

HISTONE DEACETYLASE INHIBITORS; GENE-EXPRESSION; CLINICAL DEVELOPMENT; CANCER; IDENTIFY; TRANSCRIPTION; SIGNATURES; PATHWAY; STRESS; GROWTH;

D O I：

10.1016/j.drudis.2012.07.017

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Genome-wide expression profiling of gene transcripts has been successfully applied in biomedical discovery for over a decade. Based on the premises of this technology, Connectivity Map provides a data-driven and systematic approach for discovering associations among genes, chemicals and biological conditions such as diseases. Since its first introduction in 2006, the approach has shown emerging promises in uncovering avenues for drug discovery and development such as in identifying and suggesting new indications for existing drugs and elucidating mode of actions for novel chemicals in addition to potentially predicting side effects.

引用

页码：1289 / 1298

页数：10

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