ArticleMethodsX2023
Discovery of RNA secondary structural motifs using sequence-ordered thermodynamic stability and comparative sequence analysis.
Article in MethodsX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Identification of conserved RNA secondary structures in human respiratory syncytial virus A (hRSV A).NAR genomics and bioinformatics · 2025Article
- Identification of a conserved RNA structure in thebioRxiv : the preprint server for biology · 2025Article
- Transcriptome-wide prediction of heat-sensitive RNA structures inFrontiers in plant science · 2025Article
- Intronic RNA secondary structural information captured for the humanNAR genomics and bioinformatics · 2024Article
- Structure of the SARS-CoV-2 Frameshift Stimulatory Element with an Upstream Multibranch Loop.Biochemistry · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major advances in RNA secondary structural motif prediction have been achieved in the last few years; however, few methods harness the predictive power of multiple approaches to deliver in-depth characterizations of local RNA motifs and their potential functionality. Additionally, most available methods do not predict RNA pseudoknots. This work combines complementary bioinformatic systems into one robust discovery pipeline where: •RNA sequences are folded to search for thermodynamically favorable motifs utilizing ScanFold.•Motifs are expanded and refolded into alternate pseudoknot conformations by Knotty/Iterative HFold.•All conformations are evaluated for covariance via the cm-builder pipeline (Infernal and R-scape).
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Registered trials
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