Computational Biology, GlaxoSmithKline, Research Triangle Park, NC 27709, USA.
Drug Discov Today. 2012 Dec;17(23-24):1289-98. doi: 10.1016/j.drudis.2012.07.017. Epub 2012 Aug 5.
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.
基因组范围内的基因转录本表达谱分析在生物医学发现领域已经成功应用了十余年。基于这项技术的前提,Connectivity Map 为发现基因、化学物质和生物状况(如疾病)之间的关联提供了一种数据驱动和系统的方法。自 2006 年首次推出以来,该方法在揭示药物发现和开发途径方面显示出了新的前景,例如鉴定和提示现有药物的新适应症,阐明新型化学物质的作用方式,以及潜在地预测副作用。