RIMap-RISC: a transcriptome-wide database of structurally modeled human microRNA interactions

Area of Science:

• Bioinformatics
• Molecular Biology
• Genomics

Background:

• MicroRNA (miRNA) targeting is crucial for gene regulation.
• Existing tools lack comprehensive biophysical modeling of miRNA-target interactions.
• Understanding miRNA binding sites requires considering secondary structures and energetics.

Purpose of the Study:

• To develop a web-accessible database for transcriptome-wide modeling of human miRNA targeting.
• To provide detailed information on predicted miRNA-transcript interactions.
• To introduce a novel framework integrating biophysical principles and secondary structure prediction.

Main Methods:

• Development of the RIMap-RISC database and its web interface.
• Implementation of a biophysical model for miRNA-RISC complex interactions.
• Integration of duplex secondary structure prediction, free energy calculations, and site classification.
• Incorporation of target accessibility and evolutionary conservation analysis.

Main Results:

• RIMap-RISC computes and records transcript-miRNA interaction details including position, structure, energy, and conservation.
• The database supports transcript-wide queries via an interactive interface and RESTful API.
• A novel miRNA-centric nomenclature for interaction types is introduced.
• The model accommodates seed and supplementary pairing within a bipartite RISC architecture.

Conclusions:

• RIMap-RISC offers a comprehensive platform for exploring miRNA targeting.
• The integrated biophysical framework provides deeper insights into miRNA-RNA interactions.
• The database facilitates research in gene regulation and miRNA function.