title: Identifying Disease Associated miRNAs Based on Protein Domains.
abstract: MicroRNAs (miRNAs) are a class of small endogenous non-coding genes, acting as regulators in the post-transcriptional processes. Recently, the miRNAs are found to be widely involved in different types of diseases. Therefore, the identification of disease associated miRNAs can help understand the mechanisms that underlie the disease and identify new biomarkers. However, it is not easy to identify the miRNAs related to diseases due to its extensive involvements in various biological processes. In this work, we present a new approach to identify disease associated miRNAs based on domains, the functional and structural blocks of proteins. The results on real datasets demonstrate that our method can effectively identify disease related miRNAs with high precision.
authors.forename: Gui-Min
authors.initials: GM
authors.lastname: Qin
authors.forename: Rui-Yi
authors.initials: RY
authors.lastname: Li
authors.forename: Xing-Ming
authors.initials: XM
authors.lastname: Zhao
mesh_terms: D000465:Algorithms; D015415:Biomarkers; D053263:Gene Regulatory Networks / Q000235:genetics*; D005819:Genetic Markers / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D009369:Neoplasms / Q000235:genetics*; D000072417:Protein Domains / Q000235:genetics*
chemical_list: D015415:Biomarkers; D005819:Genetic Markers; D035683:MicroRNAs