title: Connection Map for Compounds (CMC): A Server for Combinatorial Drug Toxicity and Efficacy Analysis.
abstract: Drug discovery and development is a costly and time-consuming process with a high risk for failure resulting primarily from a drug's associated clinical safety and efficacy potential. Identifying and eliminating inapt candidate drugs as early as possible is an effective way for reducing unnecessary costs, but limited analytical tools are currently available for this purpose. Recent growth in the area of toxicogenomics and pharmacogenomics has provided with a vast amount of drug expression microarray data. Web servers such as CMap and LTMap have used this information to evaluate drug toxicity and mechanisms of action independently; however, their wider applicability has been limited by the lack of a combinatorial drug-safety type of analysis. Using available genome-wide drug transcriptional expression profiles, we developed the first web server for combinatorial evaluation of toxicity and efficacy of candidate drugs named "Connection Map for Compounds" (CMC). Using CMC, researchers can initially compare their query drug gene signatures with prebuilt gene profiles generated from two large-scale toxicogenomics databases, and subsequently perform a drug efficacy analysis for identification of known mechanisms of drug action or generation of new predictions. CMC provides a novel approach for drug repositioning and early evaluation in drug discovery with its unique combination of toxicity and efficacy analyses, expansibility of data and algorithms, and customization of reference gene profiles. CMC can be freely accessed at http://cadd.tongji.edu.cn/webserver/CMCbp.jsp .
authors: Department of Bioinformatics, School of Life Sciences and Technology, Tongji University , Shanghai 200092, People's Repubic of China.
authors: Lei
authors: L
authors: Liu
authors: Center of Excellence in Bioinformatics and Life Sciences, the State University of New York at Buffalo , Buffalo, New York 14203, United States.
authors: Maria
authors: M
authors: Tsompana
authors: Basic Medical College, Beijing University of Chinese Medicine , Beijing 100029, People's Republic of China.
authors: Yong
authors: Y
authors: Wang
authors: Department of Bioinformatics, School of Life Sciences and Technology, Tongji University , Shanghai 200092, People's Repubic of China.
authors: Dingfeng
authors: D
authors: Wu
authors: Digestive Diseases and Nutrition Center, Department of Pediatrics, The State University of New York at Buffalo , Buffalo, New York 14260, United States.|Genome, Environment, and Microbiome Community of Excellence, The State University of New York at Buffalo , Buffalo, New York 14214, United States.|Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine , Shanghai 200032, People's Republic of China.
authors: Lixin
authors: L
authors: Zhu
authors: Department of Bioinformatics, School of Life Sciences and Technology, Tongji University , Shanghai 200092, People's Repubic of China.
authors: Ruixin
authors: R
authors: Zhu
mesh_terms: D019295:Computational Biology / Q000379:methods*; D062313:Databases, Pharmaceutical; D017277:Drug Approval; D055808:Drug Discovery / Q000379:methods*; D064420:Drug-Related Side Effects and Adverse Reactions; D056945:Hep G2 Cells; D006801:Humans; D020407:Internet; D013997:Time Factors; D014481:United States; D014486:United States Food and Drug Administration / Q000331:legislation & jurisprudence