title: Psmir: a database of potential associations between small molecules and miRNAs.
abstract: miRNAs are key post-transcriptional regulators of many essential biological processes, and their dysregulation has been validated in almost all human cancers. Restoring aberrantly expressed miRNAs might be a novel therapeutics. Recently, many studies have demonstrated that small molecular compounds can affect miRNA expression. Thus, prediction of associations between small molecules and miRNAs is important for investigation of miRNA-targeted drugs. Here, we analyzed 39 miRNA-perturbed gene expression profiles, and then calculated the similarity of transcription responses between miRNA perturbation and drug treatment to predict drug-miRNA associations. At the significance level of 0.05, we obtained 6501 candidate associations between 1295 small molecules and 25 miRNAs, which included 624 FDA approved drugs. Finally, we constructed the Psmir database to store all potential associations and the related materials. In a word, Psmir served as a valuable resource for dissecting the biological significance in small molecules' effects on miRNA expression, which will facilitate developing novel potential therapeutic targets or treatments for human cancers. Psmir is supported by all major browsers, and is freely available at http://www.bio-bigdata.com/Psmir/.
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Fanlin
authors.initials: F
authors.lastname: Meng
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Jing
authors.initials: J
authors.lastname: Wang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Enyu
authors.initials: E
authors.lastname: Dai
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Feng
authors.initials: F
authors.lastname: Yang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Xiaowen
authors.initials: X
authors.lastname: Chen
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Shuyuan
authors.initials: S
authors.lastname: Wang
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Xuexin
authors.initials: X
authors.lastname: Yu
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Dianming
authors.initials: D
authors.lastname: Liu
authors.affiliation: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, P. R. China.
authors.forename: Wei
authors.initials: W
authors.lastname: Jiang
mesh_terms: D030541:Databases, Genetic; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation / Q000187:drug effects*; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D009369:Neoplasms / Q000188:drug therapy / Q000235:genetics; D064878:Web Browser
chemical_list: D035683:MicroRNAs