药物发现
仿形(计算机编程)
计算生物学
药物开发
数据科学
计算机科学
药品
生物
生物信息学
药理学
操作系统
作者
Xiaoyan A. Qu,Deepak K. Rajpal
标识
DOI:10.1016/j.drudis.2012.07.017
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.
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