Common features of microRNA target prediction tools

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• MicroRNAs (miRNAs) are short non-coding RNAs regulating gene expression post-transcriptionally.
• miRNAs can target multiple gene transcripts, making them key regulators of gene expression and mRNA translation.
• Computational prediction of miRNA targets is crucial for experimental validation of miRNA:mRNA interactions.

Purpose of the Study:

• To provide an overview of major computational approaches for miRNA target prediction.
• To highlight user-friendly and capable tools like DIANA-microT-CDS, miRanda-mirSVR, and TargetScan.
• To explain the fundamental features used in miRNA target prediction: seed match, conservation, free energy, and site accessibility.

Main Methods:

• Review of computational approaches for miRNA target prediction.
• Comparison of selected tools based on ease of use, miRBase version, and capabilities.
• Explanation of key features influencing miRNA:mRNA target interactions.

Main Results:

• Four common features underpin most miRNA target prediction tools: seed match, conservation, free energy, and site accessibility.
• DIANA-microT-CDS, miRanda-mirSVR, and TargetScan are highlighted for their usability and features.
• Understanding these prediction features aids in tool selection and output interpretation.

Conclusions:

• Computational miRNA target prediction is a rapidly evolving field with increasing development of new tools.
• A comprehensive understanding of prediction methodologies and features is essential for researchers.
• This review aims to facilitate cross-disciplinary understanding and appropriate use of miRNA target prediction tools.