miRTex

miRTex extracts microRNA (miRNA)-related regulatory relations from scientific literature to identify miRNA-target interactions and gene-miRNA regulation dynamics.

Key Features:

• Precision and Recall: Achieves F-scores close to 0.90 for miRNA-target, miRNA-gene, and gene-miRNA relations when evaluated on a corpus of 150 abstracts.
• Large-scale text mining: Processes all Medline abstracts and full-length articles in the PubMed Central Open Access Subset for comprehensive extraction of miRNA-related data.
• Database integration: Stores extracted miRNA regulatory relations in a database for downstream analysis.

Scientific Applications:

• Cancer research (Triple Negative Breast Cancer): Identified genes potentially regulated by miRNAs in Triple Negative Breast Cancer studies.
• Plant biology (Arabidopsis thaliana): Explored miRNA-gene relations alongside kinase-substrate interactions regulating responses to abiotic stress in Arabidopsis thaliana.

Methodology:

miRTex employs text-mining algorithms to identify and extract miRNA-related regulatory relations from scientific literature.