miRDRN

miRDRN constructs disease- and tissue-specific miRNA–protein regulatory networks by integrating public datasets of human protein interactions, disease-associated microRNAs (miRNAs), tumor-associated genes, miRNA-targeted genes, molecular interaction pathways, gene ontology, gene annotations, and gene expression data.

Key Features:

• Integration of Diverse Biological Data: Integrates human protein interactions, disease-associated microRNAs (miRNAs), tumor-associated genes, miRNA-targeted genes, molecular interaction pathways, gene ontology, gene annotations, and gene expression data.
• Regulatory Sub-Pathways (RSPs): Constructs RSPs in the form (M, T, G1, G2), where M is a disease-associated miRNA, T is its regulatory target gene, and G1 and G2 are genes/proteins interacting with T and G1 respectively, and assigns a p-value to each RSP reflecting gene involvement in molecular interactions and pathways.
• Disease and Tissue-Specific Networks: Retrieves subsets of RSPs specific to particular diseases or tissues for focused analysis of regulatory networks.
• Comprehensive Database: Contains over 6.97 million p-valued sub-pathways associated with 119 diseases across 78 tissue types, built from 207 disease-associated miRNAs regulating 389 genes.

Scientific Applications:

• Single Disease Analysis: Applied to colorectal cancer (CRC) to identify 26 novel potential CRC target genes.
• Comorbidity Studies: Used to investigate comorbidity of Alzheimer's disease and Type 2 diabetes (AD-T2D), revealing 18 novel potential comorbid genes.
• Drug Development Insights: Employed to explore potential causes of late-phase failures of anti-Alzheimer's drugs (e.g., BACE1 inhibitors) by identifying downstream genes whose suppression may impact signal transduction pathways.

Methodology:

Integrates datasets to construct and store RSPs (M, T, G1, G2) and assigns p-values to sub-pathways based on gene participation in molecular interactions and reaction networks.