Introduction to the Updated miRTarBase
miRTarBase, the leading repository for miRNA-target interactions (MTIs), has expanded to include over 3,817,550 MTIs. Enhanced by the integration of META's LLAMA3 model, our NLP pipeline now offers greater accuracy in detecting and validating MTIs and miRNA-disease associations with fewer false positives. The latest update includes articles now totaling 13,690, projected to reach approximately 15,000 in the future. We have also incorporated new data that emphasizes the role of miRNAs in drug resistance, treatment strategies, and as biomarkers for toxicity assessment and therapeutic outcomes. Additionally, a significant increase in MTIs validated by high-throughput methods like CLIP-seq and PAR-CLIP ensures the highest standard of data quality. Comprehensive updates to our website and backend architecture have improved usability and user experience, reaffirming our commitment to providing cutting-edge resources for the research community.