RNA molecules function in numerous biological processes by folding into intricate structures. Here we present RASP v2.0, an updated database for RNA structure probing data featuring a substantially expanded collection of datasets along with enhanced online structural analysis functionalities. Compared to the previous version, RASP v2.0 includes the following improvements: (i) the number of RNA structure datasets has increased from 156 to 438, comprising 216 transcriptome-wide RNA structure datasets, 141 target-specific RNA structure datasets, and 81 RNA–RNA interaction datasets, thereby broadening species coverage from 18 to 24, (ii) a deep learning-based model has been implemented to impute missing structural signals for 59 transcriptome-wide RNA structure datasets with low structure score coverage, significantly enhancing data quality, particularly for low-abundance RNAs, (iii) three new online analysis modules have been deployed to assist RNA structure studies, including missing structure score imputation, RNA secondary and tertiary structure prediction, and RNA binding protein (RBP) binding prediction. By providing a resource of much more comprehensive RNA structure data, RASP v2.0 is poised to facilitate the exploration of RNA structure-function relationships across diverse biological processes. RASP v2.0 is freely accessible at http://rasp2.zhanglab.net/.

中文翻译：

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RASP v2.0：用于 RNA 结构探测数据的更新图谱


RNA 分子通过折叠成复杂的结构在许多生物过程中发挥作用。在这里，我们介绍了 RASP v2.0，这是一个更新的 RNA 结构探测数据库，具有大幅扩展的数据集集合以及增强的在线结构分析功能。与以前的版本相比，RASP v2.0 包括以下改进：（i） RNA 结构数据集的数量从 156 个增加到 438 个，包括 216 个转录组范围的 RNA 结构数据集、141 个靶标特异性 RNA 结构数据集和 81 个 RNA-RNA 相互作用数据集，从而将物种覆盖范围从 18 个扩大到 24 个，（ii） 实施了基于深度学习的模型，以估算 59 个转录组范围的 RNA 结构数据集的缺失结构信号，低结构评分覆盖率，显著提高数据质量，特别是对于低丰度 RNA，（iii） 部署了三个新的在线分析模块来协助 RNA 结构研究，包括缺失结构评分插补、RNA 二级和三级结构预测以及 RNA 结合蛋白 （RBP） 结合预测。通过提供更全面的 RNA 结构数据资源，RASP v2.0 有望促进探索不同生物过程中的 RNA 结构-功能关系。RASP v2.0 可在 http://rasp2.zhanglab.net/ 免费访问。