Computational analysis and predictive modeling of small molecule modulators of microRNA.

ABSTRACT:

Background

MicroRNAs (miRNA) are small endogenously transcribed regulatory RNA which modulates gene expression at a post transcriptional level. These small RNAs have now been shown to be critical regulators in a number of biological processes in the cell including pathophysiology of diseases like cancers. The increasingly evident roles of microRNA in disease processes have also motivated attempts to target them therapeutically. Recently there has been immense interest in understanding small molecule mediated regulation of RNA, including microRNA.

Results

We have used publicly available datasets of high throughput screens on small molecules with potential to inhibit microRNA. We employed computational methods based on chemical descriptors and machine learning to create predic

SUBMITTER: Jamal S 

PROVIDER: S-EPMC3466443 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature