sChemNET: A Deep Learning Framework for Predicting Small Molecule Modulators of miRNA Activity in Disease Treatment - MarkTechPost
MicroRNAs (miRNAs) play key roles in human diseases, including cancer and infectious diseases, by regulating gene expression. Modulating miRNAs or their gene targets with small molecules present a potential therapeutic approach for correcting disease-related cellular dysfunctions. However, predicting effective small molecules for specific miRNAs is difficult due to limited data on miRNA-small molecule interactions. Although therapeutic oligonucleotides targeting miRNAs have shown promise, challenges in delivery, stability, and toxicity remain. Small molecule targeting offers an alternative, yet the principles governing small molecule activity against miRNAs are still being explored, limiting predictive capabilities. Researchers developed sChemNET, a deep-learning framework to predict small
