ArticleMolecular therapy. Nucleic acids2021
Staem5: A novel computational approachfor accurate prediction of m5C site.
Article in Molecular therapy. Nucleic acids, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Deep learning model and omics screening highlight angiotensinogen as a 5-methylcytosine (mFrontiers in immunology · 2026Article
- TCN-5mC: a predictor of 5-methylcytosine sites based on multi-feature fusion and TCN-inspired block networks.Frontiers in genetics · 2026Article
- FusDRM-m5C: a hybrid model for accurate prediction of 5-methylcytosine modification sites based on feature fusion and attention mechanism.Frontiers in genetics · 2025Article
- Definer: A computational method for accurate identification of RNA pseudouridine sites based on deep learning.PloS one · 2025Article
- A CNN based m5c RNA methylation predictor.Scientific reports · 2023Article
- XGBoost framework with feature selection for the prediction of RNA N5-methylcytosine sites.Molecular therapy : the journal of the American Society of Gene Therapy · 2023Article
- Predicting Pseudouridine Sites with Porpoise.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Epitranscriptomics in parasitic protists: Role of RNA chemical modifications in posttranscriptional gene regulation.PLoS pathogens · 2022Review
- Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy.Molecular therapy : the journal of the American Society of Gene Therapy · 2022Article
- Article
- Biological roles of RNA mBiomarker research · 2022Review
- MLACP 2.0: An updated machine learning tool for anticancer peptide prediction.Computational and structural biotechnology journal · 2022Article
- Dynamic regulation and key roles of ribonucleic acid methylation.Frontiers in cellular neuroscience · 2022Review
- m5Cpred-XS: A New Method for Predicting RNA m5C Sites Based on XGBoost and SHAP.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
5-Methylcytosine (m5C) is an important post-transcriptional modification that has been extensively found in multiple types of RNAs. Many studies have shown that m5C plays vital roles in many biological functions, such as RNA structure stability and metabolism. Computational approaches act as an efficient way to identify m5C sites from high-throughput RNA sequence data and help interpret the functional mechanism of this important modification. This study proposed a novel species-specific computational approach, Staem5, to accurately predict RNA m5C sites in
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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 Socratic graph.