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.

中文翻译：

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使用RSRNA算法基于茎区替换预测RNA二级结构

RNA 的功能，包括调节各种细胞活动，似乎与其结构密切相关。然而，准确预测 RNA 二级结构可能很困难。可以通过从茎库中选择合适和相容的茎区域来实现结构预测。在这里，我们提出了一种基于茎区替换预测非编码 RNA 二级结构的方法，我们将其命名为 RSRNA。这种方法与嵌套的 RNA 二级结构兼容，同时减少了任何随机性。我们的算法比其他算法具有更高的性能和预测精度，这对于未来的 RNA 结构研究更有效。