Predicts combinatorial drug candidates that target multiple signaling pathways. CDA offers 6,100 expression profiles representing 1,309 molecules which were imported from Connectivity Map. It proceeds to hyper-geometric tests for signaling pathway gene set enrichment analysis. The tool generates lists of single drugs and combinatorial drugs showing similar expression patterns. It has been used to predict synergistic combinatorial drug pairs in lung cancer and triple negative breast cancer.
Medicinal Bioconvergence Research Center, Seoul National University, Seoul, South Korea; Information Center for Bio-pharmacological Network, Seoul National University, Suwon, South Korea; Korean BioInformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Yuseong-gu, Deajeon, South Korea; WCU Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul, South Korea
CDA funding source(s)
Supported by the grants of the Global Frontier (NRF-M1AXA002-2010-0029785) and the Research Information Center Supporting Program (370C-20090004) and the WCU project (R31-2008-000-10103-0) of the Ministry of Education, Science, and Technology and Korea Healthcare Technology (A092255-0911-1110100), the Ministry of Health and Welfare Affairs, and Gyonggi-do, an EU project of the 7th framework programme (METOXIA), and by the Korean Ministry of Education, Science and Technology (MEST) under grant number 20110002321.