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The term "Broad set of predicted mRNA targets" refers to a collective group of messenger RNA (mRNA) transcripts identified as potential regulatory targets for a specific molecule, such as a microRNA (miRNA) or an RNA-binding protein (1). This is not a single therapeutic target but a network of genes whose expression is modulated simultaneously, often through base-pairing interactions in the 3' untranslated regions (UTRs) of the transcripts (2). In drug discovery, this concept is central to miRNA-based therapeutics, where a single drug (e.g., a miRNA mimic) aims to restore or inhibit a regulatory network rather than a single protein (3). While this approach allows for the modulation of complex disease pathways, it introduces significant challenges in predicting the net biological effect and managing off-target toxicities (4). Consequently, this entry is considered "incorrect" as a specific therapeutic target because it lacks the molecular specificity required for standard pharmacological classification. The identification of these targets usually relies on bioinformatic algorithms that assess seed sequence complementarity and evolutionary conservation (1, 2). Clinical applications of targeting such sets are currently being explored in oncology, cardiology, and hepatology, though many candidates have faced hurdles due to systemic safety concerns (3). Overall, while the concept is vital for understanding RNA biology, it does not represent a discrete, druggable receptor or enzyme in the traditional sense.
Post-transcriptional regulation of gene expression via mRNA degradation or translational inhibition mediated by microRNA mimics, antagomirs, or RNA-binding proteins (1, 2).
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