RNA 5-methylcytosine (m5C) is one of the pillars of post-transcriptional modification (PTCM). A growing body of evidence suggests that m5C plays a vital role in RNA metabolism. Accurate localization of RNA m5C sites in tissue cells is the premise and basis for the in-depth understanding of the functions of m5C. However, the main experimental methods of detecting m5C sites are limited to varying degrees. Establishing a computational model to predict modification sites is an excellent complement to wet experiments for identifying m5C sites. In this review, we summarized some available m5C predictors and discussed the characteristics of these methods.

中文翻译：

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用于识别 RNA 5-甲基胞嘧啶位点的计算方法的小综述

RNA 5-甲基胞嘧啶 (m5C) 是转录后修饰 (PTCM) 的支柱之一。越来越多的证据表明 m5C 在 RNA 代谢中起着至关重要的作用。准确定位组织细胞中RNA m5C位点是深入了解m5C功能的前提和基础。然而，目前检测m5C位点的主要实验方法都受到不同程度的限制。建立一个计算模型来预测修饰位点是对识别 m5C 位点的湿实验的一个很好的补充。在这篇综述中，我们总结了一些可用的 m5C 预测器并讨论了这些方法的特点。