mirDIP

mirDIP aggregates and integrates human microRNA–gene interaction predictions into probabilistic integrated scores to support analysis of gene regulation by microRNAs.

Key Features:

• Extensive Interaction Data: mirDIP 5.2 contains 46,364,047 predictions involving 27,936 genes and 2,734 microRNAs and incorporates interactions from mirGeneDB for expanded coverage.
• Curated Novel microRNAs: The database integrates 32,497 novel microRNAs curated from 14 publications.
• Contextual Annotation: mirDIP processes expression data from 20 resources to annotate 330 tissue and disease contexts covering 2,657 microRNAs, 27,576 genes, and 123,651,910 gene–microRNA–tissue interactions.
• Integration with miRAnno: mirDIP includes miRAnno, a network-based method that identifies pathways linked to specific microRNAs.

Scientific Applications:

• Gene Regulation Analysis: Use integrated interaction predictions and scores to investigate microRNA-mediated regulation of human genes.
• Disease Mechanism Investigation: Leverage context-specific annotations across tissues and diseases to study microRNA involvement in disease processes.
• Therapeutic Target Identification: Prioritize microRNA–gene interactions as potential therapeutic targets based on integrated probabilities and contextual evidence.
• Novel microRNA Exploration: Explore curated novel microRNAs and their predicted interactions across tissues and disease contexts.

Methodology:

mirDIP aggregates data from multiple databases, employs five prediction algorithms for miRBase and mirGeneDB to produce integrated probabilistic scores, integrates novel microRNAs through curation, and processes expression data from 20 resources to generate context annotations.