Huang Yixian, Zhang Zhiyong, Zou Zhengkai, Zhang Lingquan, Chen Yigang, Wan Jingting, Zhu Zihao, Yu Sicong, Zuo Huali, Lin Yang-Chi-Dung, Huang Hsi-Yuan, Huang Hsien-Da
School of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong 518172, China.
Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong 518172, China.
Nucleic Acids Res. 2025 Jul 7;53(W1):W485-W495. doi: 10.1093/nar/gkaf405.
Functional RNA molecules are crucial for biological processes from gene regulation to protein synthesis, and analyzing functional motifs and elements is essential for understanding RNA regulation. Building on RegRNA 1.0 and 2.0, we present RegRNA 3.0, a sophisticated meta-workflow that integrates 26 computational tools and 28 databases for annotation, enabling one-step and customizable RNA motif predictions. RegRNA streamlines multi-step analysis and enhances result interpretation with interactive visualizations and comprehensive reporting tools. When provided with an RNA sequence, RegRNA 3.0 generates predictions for RNA functional motifs, RNA interaction motifs, and comprehensive RNA annotations. Specifically, RNA functional motifs include core promoter elements, RNA decay, G-quadruplex, and 14 previous types. RNA interaction motifs include newly added RNA-ligand interactions and RNA-binding protein predictions, along with three previous types. RNA annotation includes RNA family classification, blood exosomes RNA, subcellular localizations, A-to-I editing events, modifications, and 3D structures, along with four previously supported features. RegRNA 3.0 accelerates gene regulation and RNA biology discoveries by offering a user-friendly platform for identifying and analyzing RNA motifs and interactions. The web interface has been improved for intuitive visualizations of predicted motifs and structures, with flexible download options in multiple formats. It is available at http://awi.cuhk.edu.cn/∼RegRNA/.
功能性RNA分子对于从基因调控到蛋白质合成的生物过程至关重要,分析功能性基序和元件对于理解RNA调控至关重要。在RegRNA 1.0和2.0的基础上,我们推出了RegRNA 3.0,这是一个复杂的元工作流程,集成了26种计算工具和28个数据库用于注释,能够实现一步式且可定制的RNA基序预测。RegRNA简化了多步骤分析,并通过交互式可视化和综合报告工具增强了结果解读。当提供一个RNA序列时,RegRNA 3.0会生成RNA功能性基序、RNA相互作用基序以及全面的RNA注释的预测结果。具体而言,RNA功能性基序包括核心启动子元件、RNA衰变、G-四链体以及之前的14种类型。RNA相互作用基序包括新添加的RNA-配体相互作用和RNA结合蛋白预测,以及之前的三种类型。RNA注释包括RNA家族分类、血液外泌体RNA、亚细胞定位、A到I编辑事件、修饰和三维结构,以及之前支持的四种特征。RegRNA 3.0通过提供一个用户友好的平台来识别和分析RNA基序及相互作用,加速了基因调控和RNA生物学的发现。网络界面经过改进,可直观地可视化预测的基序和结构,并提供多种格式的灵活下载选项。可通过http://awi.cuhk.edu.cn/∼RegRNA/访问。