A Mathematical Model for RNA 3D Structures Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/math13081352
The computational prediction of RNA three-dimensional (3D) structures remains a significant challenge, largely due to the limited understanding of RNA folding pathways. Although the scarcity of resolved native RNA structures has hindered the effectiveness of machine learning-based prediction methods, small, local structural motifs are both recurring and abundant in the available data. Precisely modeling these geometric motifs presents a promising approach to improving 3D structure prediction. In this paper, we introduce a novel mathematical model that represents RNA 3D structures as collections of interacting helices with concise geometric descriptions. By using a small set of parameters for each modeled helix, our method maps RNA strand segments onto helices within a 3D space, facilitating the effective assembly of large RNA structures. Preliminary tests on RNA sequences from the Protein Data Bank demonstrated the model’s potential in predicting key structural elements, including double helices, hairpin loops, and bulges.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/math13081352
- https://www.mdpi.com/2227-7390/13/8/1352/pdf?version=1745229152
- OA Status
- gold
- References
- 40
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4409634427Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/math13081352Digital Object Identifier
- Title
-
A Mathematical Model for RNA 3D StructuresWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-21Full publication date if available
- Authors
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Sixiang Zhang, Liming CaiList of authors in order
- Landing page
-
https://doi.org/10.3390/math13081352Publisher landing page
- PDF URL
-
https://www.mdpi.com/2227-7390/13/8/1352/pdf?version=1745229152Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2227-7390/13/8/1352/pdf?version=1745229152Direct OA link when available
- Concepts
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RNA, Computational biology, Computer science, Biology, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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