Drug repositioning is an important area of biomedical research. The drug repositioning studies have shifted to computational approaches. Large-scale perturbation databases, such as the Connectivity Map and the Library of Integrated Network-Based Cellular Signatures, contain a number of chemical-induced gene expression profiles and provide great opportunities for computational biology and drug repositioning. One reason is that the profiles provided by the Connectivity Map and the Library of Integrated Network-Based Cellular Signatures databases show an overall view of biological mechanism in drugs, diseases and genes. In this article, we provide a review of the two databases and their recent applications in drug repositioning.

药物重新定位是生物医学研究的重要领域。药物重新定位研究已转向计算方法。大规模扰动数据库，例如连接图和基于网络的集成细胞签名库，包含许多化学诱导的基因表达谱，并为计算生物学和药物重新定位提供了巨大的机会。原因之一是，“连接图”和基于“基于网络的集成网络签名库”数据库提供的配置文件显示了药物，疾病和基因中生物学机制的整体视图。在本文中，我们将对这两个数据库及其在药物重新定位中的最新应用进行综述。