ReviewInternational journal of molecular sciences2016
Tools for Sequence-Based miRNA Target Prediction: What to Choose?
Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 230 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
230 citing papers in PubMed, 458 citations in OpenAlex.
- Association ofRadiology and oncology · 2023Trial
- LncRNA SNHG8 contributes to post-myocardial infarction cardiac fibrosis and is functionally associated with miR-192-3p.Journal of molecular histology · 2026Article
- Conserved Core and Species-Specific Signatures in the Milk Exosomal microRNA Targetome: A Preliminary Comparative In Silico Analysis of Human, Cow, Goat and Donkey Milk.International journal of molecular sciences · 2026Article
- The Investigation of MicroRNA Expression Levels in Postmortem Nucleus Accumbens of the Individuals with 6-MAM-Confirmed Heroin-Associated Polysubstance İntoxication: A Case Control Study.Molecular neurobiology · 2026Article
- Whole-transcriptome insights into light-responsive non-coding RNA networks regulating circadian clock and DNA repair in zebrafish.Functional & integrative genomics · 2026Article
- The involvement of miRNAs in CYP450 enzymes and UDP-glucuronosyltransferases regulation in the human liver.Scientific reports · 2026Article
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- miRNAProtPred: computational prediction of human miRNA binding based on seed complementarity and thermodynamic stability.Frontiers in genetics · 2026Article
- MicroRNAs in neurodegenerative diseases: from molecular mechanisms to clinical biomarkers, detection methods and therapeutic strategies-advances and challenges.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Review
- Strong Association Between MiRNA Gene Variants and Type 2 Diabetes Mellitus in a Caucasian Population.International journal of molecular sciences · 2025Article
- An efficient framework to decipher microRNA regulatory programs applied to T cells.Genes and immunity · 2025Article
- Genome Reconstruction of Grapevine Virus M and In Silico miRNA Prediction for Sequence-Specific Gene Silencing.Current microbiology · 2025Article
- Neutrophil degranulation is increased at seven days after human intracerebral hemorrhage, but not at 72 h, and correlates with decreased miR-3613 and miR-3690.BMC neurology · 2025Article
- Utilizing partial information decomposition to evaluate the complex interplay between microRNA and RNA-binding protein in regulating the shared target mRNA.Scientific reports · 2025Article
- Genome-Wide Characterization and Analysis of theGenes · 2025Article
- Circular RNA discovery with emerging sequencing and deep learning technologies.Nature genetics · 2025Review
- microRNA-Mediated Regulation of Oxidative Stress in Cardiovascular Diseases.Journal of clinical laboratory analysis · 2025Review
- MiR- 142 - 3p Up-regulation Mitigates Cerebral Ischemia-reperfusion Injury by Targeting PICALM.Journal of molecular neuroscience : MN · 2025Article
- Role of non-coding RNAs in quality improvement of horticultural crops: computational tools, databases, and algorithms for identification and analysis.Functional & integrative genomics · 2025Review
170 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are defined as small non-coding RNAs ~22 nt in length. They regulate gene expression at a post-transcriptional level through complementary base pairing with the target mRNA, leading to mRNA degradation and therefore blocking translation. In the last decade, the dysfunction of miRNAs has been related to the development and progression of many diseases. Currently, researchers need a method to identify precisely the miRNA targets, prior to applying experimental approaches that allow a better functional characterization of miRNAs in biological processes and can thus predict their effects. Computational prediction tools provide a rapid method to identify putative miRNA targets. However, since a large number of tools for the prediction of miRNA:mRNA interactions have been developed, all with different algorithms, the biological researcher sometimes does not know which is the best choice for his study and many times does not understand the bioinformatic basis of these tools. This review describes the biological fundamentals of these prediction tools, characterizes the main sequence-based algorithms, and offers some insights into their uses by biologists.
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What OpenQuestion holds
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.