ArticleFrontiers in genetics2019
Improving Bioinformatics Prediction of microRNA Targets by Ranks Aggregation.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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Who cites it
69 citing papers in PubMed, 114 citations in OpenAlex.
- Essential role of hsa-miR-203a-3p in type I interferons immune homeostasis during influenza and NDV infection.RNA biology · 2026Article
- A Novel Serum miRNA Panel (miR-145, miR-34a, and miR-222) for Schwannoma Diagnosis.Biochemical genetics · 2026Article
- OTTR-CLASH: improved biochemical and bioinformatic identification of Argonaute 2-mediated microRNA-target RNA interactions.bioRxiv : the preprint server for biology · 2026Article
- Predicting skin melanoma progression via LAG-3, TIGIT and HAVCR2.Functional & integrative genomics · 2026Article
- TSG-6 Activated MSC-derived Extracellular Vesicles Present Altered micro-RNA Contents and Ameliorate the Inflammatory Phenotype of Macrophages in Vitro.Inflammation · 2026Article
- Dual-Targeting miR-219 and miR-146a in Multiple Sclerosis: Bridging Myelin Repair and Neuroinflammation for Novel Therapeutic Insights.Cellular and molecular neurobiology · 2026Review
- Improved wound healing by dual inhibition of miR-146a-5p and miR-29a-3p supports a network action of dysregulated miRNAs in diabetic skin.Diabetologia · 2026Article
- Analysis of the Circulating miRNome Expression Profile in Saliva Samples After Neoadjuvant Chemoradiotherapy in a Rectal Cancer Study Population Using Next-Generation Sequencing.International journal of molecular sciences · 2025Article
- Article
- Screening out microRNAs and Their Molecular Pathways with a Potential Role in the Regulation of Parvovirus B19 Infection Through In Silico Analysis.International journal of molecular sciences · 2025Article
- Value of Bioinformatics Models for Predicting Translational Control of Angiogenesis.Circulation research · 2025Review
- A thematic analysis of prognostic, diagnostic, and therapeutic of circulating miRNA biomarkers in bortezomib-resistant multiple myeloma.SAGE open medicine · 2025Review
- Circulating MicroRNAs in Idiopathic Pulmonary Fibrosis: A Narrative Review.Current issues in molecular biology · 2024Review
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- MicroRNA-mediated epigenetic regulation of HDAC8 and HDAC6: Functional significance in cervical cancer.Non-coding RNA research · 2024Article
- Identification of a Novel miR-195-5p/PNN Axis in Colorectal Cancer.International journal of molecular sciences · 2024Article
- Investigation of GPR143 as a promising novel marker for the progression of skin cutaneous melanoma through bioinformatic analyses and cell experiments.Apoptosis : an international journal on programmed cell death · 2024Article
- Modulation of experimental acute lung injury by exosomal miR-7704 from mesenchymal stromal cells acts through M2 macrophage polarization.Molecular therapy. Nucleic acids · 2024Article
- Plasma miR-150-5p in Renal Transplant Recipients with Acute Antibody-Mediated Rejection.Journal of clinical medicine · 2024Article
- 5'-Isoforms of miR-1246 Have Distinct Targets and Stronger Functional Impact Compared with Canonical miR-1246 in Colorectal Cancer Cells In Vitro.International journal of molecular sciences · 2024Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
microRNAs are noncoding RNAs which downregulate a large number of target mRNAs and modulate cell activity. Despite continued progress, bioinformatics prediction of microRNA targets remains a challenge since available software still suffer from a lack of accuracy and sensitivity. Moreover, these tools show fairly inconsistent results from one another. Thus, in an attempt to circumvent these difficulties, we aggregated all human results of four important prediction algorithms (miRanda, PITA, SVmicrO, and TargetScan) showing additional characteristics in order to rerank them into a single list. Instead of deciding which prediction tool to use, our method clearly helps biologists getting the best microRNA target predictions from all aggregated databases. The resulting database is freely available through a webtool called miRabel which can take either a list of miRNAs, genes, or signaling pathways as search inputs. Receiver operating characteristic curves and precision-recall curves analysis carried out using experimentally validated data and very large data sets show that miRabel significantly improves the prediction of miRNA targets compared to the four algorithms used separately. Moreover, using the same analytical methods, miRabel shows significantly better predictions than other popular algorithms such as MBSTAR, miRWalk, ExprTarget and miRMap. Interestingly, an F-score analysis revealed that miRabel also significantly improves the relevance of the top results. The aggregation of results from different databases is therefore a powerful and generalizable approach to many other species to improve miRNA target predictions. Thus, miRabel is an efficient tool to guide biologists in their search for miRNA targets and integrate them into a biological context.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.