miRDB: an online resource for microRNA target prediction and functional annotations

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• MicroRNAs (miRNAs) are crucial regulators in biological processes and diseases.
• Identifying genes regulated by specific miRNAs remains a significant challenge in miRNA research.

Purpose of the Study:

• To introduce the updated features of miRDB, an online resource for miRNA target prediction and functional annotation.
• To provide users with enhanced capabilities for studying miRNA-gene interactions.

Main Methods:

• Development of an online resource (miRDB) for miRNA target prediction.
• Implementation of a web server for user-submitted sequence analysis.
• Combined computational analyses and literature mining for functional miRNA identification.

Main Results:

• miRDB now contains 2.1 million predicted gene targets for 6709 miRNAs.
• A new web server interface allows custom miRNA target prediction.
• Identified 568 functional human miRNAs and 452 functional mouse miRNAs with annotations in the FuncMir Collection.

Conclusions:

• The updated miRDB resource enhances the study of miRNA functions and target interactions.
• miRDB provides valuable tools for researchers investigating miRNA roles in health and disease.
• The identification of functional miRNAs aids in distinguishing biologically relevant miRNAs from potential false positives.