Fei Wang, Xiujuan Lei and Fang-Xiang Wu* Pages 5340 - 5350 ( 11 )
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.
Drug repositioning, computational biology, bioinformatics, drug candidate, connectivity map, the library of integrated network-based cellular signatures.
Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, School of Computer Science, Shaanxi Normal University, Xi’an, Shaanxi, School of Computer Science, Shaanxi Normal University, Xi’an, Shaanxi