ArticleJournal of molecular biology2016
Predicting Large RNA-Like Topologies by a Knowledge-Based Clustering Approach.
Article in Journal of molecular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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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
17 citing papers in PubMed.
- Open questions on viral frameshifting: Exploiting the structural plasticity of the frameshifting element for therapeutic intervention.Biophysical journal · 2026Review
- How large is the universe of RNA-like motifs? A clustering analysis of RNA graph motifs using topological descriptors.PLoS computational biology · 2025Article
- A Cascade of Conformational Switches in SARS-CoV-2 Frameshifting: Coregulation by Upstream and Downstream Elements.Biochemistry · 2025Article
- An intricate balancing act: Upstream and downstream frameshift co-regulatory elements.bioRxiv : the preprint server for biology · 2024Article
- RNA-As-Graphs Motif Atlas-Dual Graph Library of RNA Modules and Viral Frameshifting-Element Applications.International journal of molecular sciences · 2022Article
- Length-dependent motions of SARS-CoV-2 frameshifting RNA pseudoknot and alternative conformations suggest avenues for frameshifting suppression.Nature communications · 2022Article
- Length-dependent motions of SARS-CoV-2 frameshifting RNA pseudoknot and alternative conformations suggest avenues for frameshifting suppression.Research square · 2022Article
- A Fiedler Vector Scoring Approach for Novel RNA Motif Selection.The journal of physical chemistry. B · 2021Article
- Identification of novel RNA design candidates by clustering the extended RNA-As-Graphs library.Biochimica et biophysica acta. General subjects · 2020Article
- Inverse folding with RNA-As-Graphs produces a large pool of candidate sequences with target topologies.Journal of structural biology · 2020Article
- An extended dual graph library and partitioning algorithm applicable to pseudoknotted RNA structures.Methods (San Diego, Calif.) · 2019Article
- A pipeline for computational design of novel RNA-like topologies.Nucleic acids research · 2018Article
- Dual Graph Partitioning Highlights a Small Group of Pseudoknot-Containing RNA Submotifs.Genes · 2018Article
- Adventures with RNA graphs.Methods (San Diego, Calif.) · 2018Review
- F-RAG: Generating Atomic Coordinates from RNA Graphs by Fragment Assembly.Journal of molecular biology · 2017Article
- Opportunities and Challenges in RNA Structural Modeling and Design.Biophysical journal · 2017Article
- Challenges in RNA Structural Modeling and Design.Journal of molecular biology · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
An analysis and expansion of our resource for classifying, predicting, and designing RNA structures, RAG (RNA-As-Graphs), is presented, with the goal of understanding features of RNA-like and non-RNA-like motifs and exploiting this information for RNA design. RAG was first reported in 2004 for cataloging RNA secondary structure motifs using graph representations. In 2011, the RAG resource was updated with the increased availability of RNA structures and was improved by utilities for analyzing RNA structures, including substructuring and search tools. We also classified RNA structures as graphs up to 10 vertices (~200 nucleotides) into three classes: existing, RNA-like, and non-RNA-like using clustering approaches. Here, we focus on the tree graphs and evaluate the newly founded RNAs since 2011, which also support our refined predictions of RNA-like motifs. We expand the RAG resource for large tree graphs up to 13 vertices (~260 nucleotides), thereby cataloging more than 10 times as many secondary structures. We apply clustering algorithms based on features of RNA secondary structures translated from known tertiary structures to suggest which hypothetical large RNA motifs can be considered "RNA-like". The results by the PAM (Partitioning Around Medoids) approach, in particular, reveal good accuracy, with small error for the largest cases. The RAG update here up to 13 vertices offers a useful graph-based tool for exploring RNA motifs and suggesting large RNA motifs for design.
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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.