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miRDB is an online database for miRNA target prediction and functional annotations. All the targets in miRDB were predicted by a bioinformatics tool, MirTarget, which was developed by analyzing thousands of miRNA-target interactions from high-throughput sequencing experiments. Common features associated with miRNA binding and target downregulation have been identified and used to predict miRNA targets with machine learning methods. miRDB hosts predicted miRNA targets in five species: human, mouse, rat, dog and chicken. Users may also provide their own sequences for custom target prediction using the updated prediction algorithm. In addition, through combined computational analyses and literature mining, functionally active miRNAs in humans and mice were identified. These miRNAs, as well as associated functional annotations, are presented in the FuncMir Collection in miRDB. As a recent update, miRDB presents the expression profiles of hundreds of cell lines and the user may limit their search for miRNA targets that are expressed in a cell line of interest. To facilitate the prediction of miRNA functions, miRDB presents a new web interface for integrative analysis of target prediction and Gene Ontology data.

References:

• Yuhao Chen and Xiaowei Wang (2020) miRDB: an online database for prediction of functional microRNA targets. Nucleic Acids Research. 48(D1):D127-D131.
• Weijun Liu and Xiaowei Wang (2019) Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data. Genome Biology. 20(1):18.

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