Inferring potential small molecule-miRNA association based on triple layer heterogeneous network.

ABSTRACT: Recently, many biological experiments have indicated that microRNAs (miRNAs) are a newly discovered small molecule (SM) drug targets that play an important role in the development and progression of human complex diseases. More and more computational models have been developed to identify potential associations between SMs and target miRNAs, which would be a great help for disease therapy and clinical applications for known drugs in the field of medical research. In this study, we proposed a computational model of triple layer heterogeneous network based small molecule-MiRNA association prediction (TLHNSMMA) to uncover potential SM-miRNA associations by integrating integrated SM similarity, integrated miRNA similarity, integrated disease similarity, experimentally verified SM-miRNA associa

SUBMITTER: Qu J 

PROVIDER: S-EPMC6020102 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature