Abstract
The RNA structure, the main predictor of biological function, is the result of the folding process. While the nucleotides in the RNA sequence rapidly coupled forming weak bonds, the spatial arrangement is a slow process. Although many computational approaches have been proposed to study the folding process of RNA, most of them do not consider the hierarchical aspect existing among the bonds. In this work, we propose to collapse nucleotides and bonds underpinning the primary and secondary structure of RNA in a unique label core congruent with the spatial configuration. A label core is represented as a term of generalized context-free grammar properly defined to support RNA structural reduction and analysis.
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Acknowledgements
We acknowledge the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme (FP7) for Research of the European Commission, under the FET-Proactive grant agreement TOPDRIM (www.topdrim.eu), number FP7-ICT- 318121.
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Appendix A
Appendix A
In this appendix we list the molecules of the two group that we have downloaded from the RNA STRAND database.
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Quadrini, M., Merelli, E., Piergallini, R. (2020). Label Core for Understanding RNA Structure. In: Cazzaniga, P., Besozzi, D., Merelli, I., Manzoni, L. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2019. Lecture Notes in Computer Science(), vol 12313. Springer, Cham. https://doi.org/10.1007/978-3-030-63061-4_16
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DOI: https://doi.org/10.1007/978-3-030-63061-4_16
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