ReviewGenomics, proteomics & bioinformatics2012
One decade of development and evolution of microRNA target prediction algorithms.
Review in Genomics, proteomics & bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed.
- RNACOREX - RNA coregulatory network explorer and classifier.PLoS computational biology · 2025Article
- miR-26a-5p protects against myocardial ischemia/reperfusion injury by regulating the PTEN/PI3K/AKT signaling pathway.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020Article
- The sequence features that define efficient and specific hAGO2-dependent miRNA silencing guides.Nucleic acids research · 2018Article
- The deterministic role of 5-mers in microRNA-gene targeting.RNA biology · 2018Article
- Fishing Into the MicroRNA Transcriptome.Frontiers in genetics · 2018Review
- miRNAs target databases: developmental methods and target identification techniques with functional annotations.Cellular and molecular life sciences : CMLS · 2017Review
- RIsearch2: suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets.Nucleic acids research · 2017Article
- miSTAR: miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure.Nucleic acids research · 2017Article
- Novel Modulators of Asthma and Allergy: Exosomes and MicroRNAs.Frontiers in immunology · 2017Review
- Article
- isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation.BMC bioinformatics · 2016Article
- Cortical Tubers: Windows into Dysregulation of Epilepsy Risk and Synaptic Signaling Genes by MicroRNAs.Cerebral cortex (New York, N.Y. : 1991) · 2016Article
- Emerging role of transcription factor-microRNA-target gene feed-forward loops in cancer.Biomedical reports · 2015Article
- miR-137 Targets p160 Steroid Receptor Coactivators SRC1, SRC2, and SRC3 and Inhibits Cell Proliferation.Molecular endocrinology (Baltimore, Md.) · 2015Article
- MicroRNA Regulating Glutathione S-Transferase P1 in Prostate Cancer.Current pharmacology reports · 2015Article
- Role of MicroRNA in Visceral Pain.Journal of neurogastroenterology and motility · 2015Article
- Experimental procedures to identify and validate specific mRNA targets of miRNAs.EXCLI journal · 2015Review
- Single nucleotide seed modification restores in vivo tolerability of a toxic artificial miRNA sequence in the mouse brain.Nucleic acids research · 2014Article
- microRNAs and Alu elements in the p53-Mdm2-Mdm4 regulatory network.Journal of molecular cell biology · 2014Review
- NMDA receptor-dependent regulation of miRNA expression and association with Argonaute during LTP in vivo.Frontiers in cellular neuroscience · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nearly two decades have passed since the publication of the first study reporting the discovery of microRNAs (miRNAs). The key role of miRNAs in post-transcriptional gene regulation led to the performance of an increasing number of studies focusing on origins, mechanisms of action and functionality of miRNAs. In order to associate each miRNA to a specific functionality it is essential to unveil the rules that govern miRNA action. Despite the fact that there has been significant improvement exposing structural characteristics of the miRNA-mRNA interaction, the entire physical mechanism is not yet fully understood. In this respect, the development of computational algorithms for miRNA target prediction becomes increasingly important. This manuscript summarizes the research done on miRNA target prediction. It describes the experimental data currently available and used in the field and presents three lines of computational approaches for target prediction. Finally, the authors put forward a number of considerations regarding current challenges and future directions.
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Registered trials
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.