ArticleFrontiers in genetics2019
A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming.
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 36 papers.
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Who cites it
36 citing papers in PubMed.
- UFold-X: an enhanced Dual & Dynamic U-Mamba model for long-range RNA secondary structure prediction.Nucleic acids research · 2026Article
- NTFold: Structure-Sensing Nucleotide Attention Learning for RNA Secondary Structure Prediction.Sensors (Basel, Switzerland) · 2026Article
- Hierarchical analysis of RNA secondary structures with pseudoknots based on sections.PLoS computational biology · 2026Article
- Improving RNA Secondary Structure Prediction Through Expanded Training Data.bioRxiv : the preprint server for biology · 2025Article
- Deep generalizable prediction of RNA secondary structure via base pair motif energy.Nature communications · 2025Article
- Enhanced RNA secondary structure prediction through integrative deep learning and structural context analysis.Nucleic acids research · 2025Article
- CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation.Interdisciplinary sciences, computational life sciences · 2025Article
- Article
- RNA secondary structure prediction by conducting multi-class classifications.Computational and structural biotechnology journal · 2025Article
- Transformers in RNA structure prediction: A review.Computational and structural biotechnology journal · 2025Review
- Analyzing aptamer structure and interactions: in silico modelling and instrumental methods.Biophysical reviews · 2024Review
- RNADiffFold: generative RNA secondary structure prediction using discrete diffusion models.Briefings in bioinformatics · 2024Article
- CRBPSA: CircRNA-RBP interaction sites identification using sequence structural attention model.BMC biology · 2024Article
- RNA exon editing: Splicing the way to treat human diseases.Molecular therapy. Nucleic acids · 2024Review
- Machine learning in RNA structure prediction: Advances and challenges.Biophysical journal · 2024Review
- sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure.Briefings in bioinformatics · 2024Article
- A Hitchhiker's guide to RNA-RNA structure and interaction prediction tools.Briefings in bioinformatics · 2023Review
- High-throughput biochemistry in RNA sequence space: predicting structure and function.Nature reviews. Genetics · 2023Review
- Machine learning for RNA 2D structure prediction benchmarked on experimental data.Briefings in bioinformatics · 2023Review
- Sequence similarity governs generalizability of de novo deep learning models for RNA secondary structure prediction.PLoS computational biology · 2023Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In recent years, obtaining RNA secondary structure information has played an important role in RNA and gene function research. Although some RNA secondary structures can be gained experimentally, in most cases, efficient, and accurate computational methods are still needed to predict RNA secondary structure. Current RNA secondary structure prediction methods are mainly based on the minimum free energy algorithm, which finds the optimal folding state of RNA
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