ReviewNature methods2022
Advances and opportunities in RNA structure experimental determination and computational modeling.
Review in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 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
78 citing papers in PubMed.
- AI foundation models for RNA biology.RNA biology · 2026Review
- DeCoRE: A computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing.Science advances · 2026Article
- Limits of deep-learning-based RNA prediction methods.Nucleic acids research · 2026Article
- M2-PRNet: multi-scale and multi-modal learning for protein-RNA binding affinity prediction.Bioinformatics (Oxford, England) · 2026Article
- Pnky lncRNA secondary structure maps identify functional regions that control neurogenesis in neural stem cells.Cell reports · 2026Article
- LISS enables immune evasion of colorectal cancers irrespective of MSI status.Signal transduction and targeted therapy · 2026Article
- Detecting and quantifying overparametrization in RNA language models with REDIAL.bioRxiv : the preprint server for biology · 2026Article
- How do RNA molecules distinguish self from non-self?Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Effect of Polymer Structure on the Thermodynamics of Polyelectrolyte Complex Micelle Formation.Macromolecules · 2026Article
- Recent Advances in Chemical Probing Strategies for RNA Structure Determination In Vivo.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Review
- Comparative RNA Structure Analysis of Nascent and Mature Transcripts in Saccharomyces cerevisiae.Journal of visualized experiments : JoVE · 2026Article
- gCoSRNA: Generalizable Coaxial Stacking Prediction for RNA Junctions Using Secondary Structure.Biomolecules · 2026Article
- Article
- RNA Structure and Its Function.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026Review
- Integrated Analysis of Cross-Link-Ligation Data for the Detection of RNA 2D/3D Structures and Interactions In Vivo.Methods in molecular biology (Clifton, N.J.) · 2026Article
- The Need for a Systems Biology Approach in Cancer Explained.International journal of molecular sciences · 2025Review
- mRNABERT: advancing mRNA sequence design with a universal language model and comprehensive dataset.Nature communications · 2025Article
- Deep structural clustering reveals hidden systematic biases in RNA sequencing data.Genome research · 2025Article
- DynaRNA: accurate dynamic RNA conformation ensemble generation with diffusion model.Communications biology · 2025Article
18 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Beyond transferring genetic information, RNAs are molecules with diverse functions that include catalyzing biochemical reactions and regulating gene expression. Most of these activities depend on RNAs' specific structures. Therefore, accurately determining RNA structure is integral to advancing our understanding of RNA functions. Here, we summarize the state-of-the-art experimental and computational technologies developed to evaluate RNA secondary and tertiary structures. We also highlight how the rapid increase of experimental data facilitates the integrative modeling approaches for better resolving RNA structures. Finally, we provide our thoughts on the latest advances and challenges in RNA structure determination methods, as well as on future directions for both experimental approaches and artificial intelligence-based computational tools to model RNA structure. Ultimately, we hope the technological advances will deepen our understanding of RNA biology and facilitate RNA structure-based biomedical research such as designing specific RNA structures for therapeutics and deploying RNA-targeting small-molecule drugs.
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36203019What 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.