title: DCDB: drug combination database.
abstract: Rapid advances in pharmaceutical sciences have brought ever-increasing interests in combined therapies for better clinical efficacy and safety, especially in cases of complicated and refractory diseases. Innovative experimental technologies and theoretical frameworks are being actively developed for multicomponent drug research. In this work, we present the Drug Combination Database, with aims to facilitate analyses of known drug combinations, to summarize patterns of beneficial drug interactions, and to provide a basis for theoretical modeling and simulation of such drug interactions. Its current version (1.0) collected 499 approved or investigational drug combinations, including 40 unsuccessful drug combinations, involving 485 individual drugs, from >6000 references.
authors.affiliation: Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, PR China.
authors.forename: Yanbin
authors.initials: Y
authors.lastname: Liu
authors.forename: Bin
authors.initials: B
authors.lastname: Hu
authors.forename: Chengxin
authors.initials: C
authors.lastname: Fu
authors.forename: Xin
authors.initials: X
authors.lastname: Chen
mesh_terms: D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D004338:Drug Combinations; D015195:Drug Design; D004345:Drug Industry; D020407:Internet; D039781:PubMed; D014481:United States; D014486:United States Food and Drug Administration
chemical_list: D004338:Drug Combinations