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Updated: Dec 9, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
Published on: May 31, 2013
Prediction of RNA secondary structure based on stem region replacement using the RSRNA algorithm
Chengzhen Xu1,2, Longjian Gao1, Jin Li3
1School of Computer Science and Technology, Huaibei Normal University, Huaibei, China.
Abstract:
RNA functions, including the regulation of various cellular activities, seem to be closely related to its structure. However, accurately predicting RNA secondary structures can be difficult. Structural prediction can be achieved by selecting stem areas that are suitable and compatible from stem pools. Here, we propose a method for predicting the secondary structure of non-coding RNA based on stem region substitution, which we named RSRNA. This method is compatible with nested RNA secondary structures, while reducing any randomness. Our algorithm had higher performance and prediction accuracy than other algorithms, which deems it more effective for future RNA structure studies.
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