ReviewComputational and structural biotechnology journal2020
Prediction of the miRNA interactome - Established methods and upcoming perspectives.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- 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
- Integrated Analysis of microRNA Targets Reveals New Insights into Transcriptional-Post-Transcriptional Regulatory Cross-Talk.Biology · 2025Article
- Interaction networks among miRNA, protein, and metabolite fingerprints identify the regulatory networks and key players in the pathogenesis of diabetic cardiomyopathy.Frontiers in cell and developmental biology · 2025Article
- Advances in applications of artificial intelligence algorithms for cancer-related miRNA research.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024Review
- The roles of miRNAs in adult skeletal muscle satellite cells.Free radical biology & medicine · 2023Review
- Global and precise identification of functional miRNA targets in mESCs by integrative analysis.EMBO reports · 2022Article
- mintRULS: Prediction of miRNA-mRNA Target Site Interactions Using Regularized Least Square Method.Genes · 2022Article
- Machine Learning Based Methods and Best Practices of microRNA-Target Prediction and Validation.Advances in experimental medicine and biology · 2022Article
- Elucidation of the conformational dynamics and assembly of Argonaute-RNA complexes by distinct yet coordinated actions of the supplementary microRNA.Computational and structural biotechnology journal · 2022Article
- Mechanosensitive pathways are regulated by mechanosensitive miRNA clusters in endothelial cells.Biophysical reviews · 2021Article
- miRNA Targets: From Prediction Tools to Experimental Validation.Methods and protocols · 2020Review
- The Role of the Liver-Specific microRNA, miRNA-122 in the HCV Replication Cycle.International journal of molecular sciences · 2020Review
- A-to-I RNA Editing in Cancer: From Evaluating the Editing Level to Exploring the Editing Effects.Frontiers in oncology · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are well-studied small noncoding RNAs involved in post-transcriptional gene regulation in a wide range of organisms, including mammals. Their function is mediated by base pairing with their target RNAs. Although many features required for miRNA-mediated repression have been described, the identification of functional interactions is still challenging. In the last two decades, numerous Machine Learning (ML) models have been developed to predict their putative targets. In this review, we summarize the biological knowledge and the experimental data used to develop these ML models. Recently, Deep Neural Network-based models have also emerged in miRNA interaction modeling. We thus outline established and emerging models to give a perspective on the future developments needed to improve the identification of genes directly regulated by miRNAs.
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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.