SSRTool: A web tool for evaluating RNA secondary structure predictions based on species-specific functional interpretability

Tzu Hsien Yang, Yu Cian Lin, Min Hsia, Zhan Yi Liao

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)


RNA secondary structures can carry out essential cellular functions alone or interact with one another to form the hierarchical tertiary structures. Experimental structure identification approa ches can show the in vitro structures of RNA molecules. However, they usually have limits in the resolution and are costly. In silico structure prediction tools are thus primarily relied on for pre-experiment analysis. Various structure prediction models have been developed over the decades. Since these tools are usually used before knowing the actual RNA structures, evaluating and ranking the pile of secondary structure predictions of a given sequence is essential in computational analysis. In this research, we implemented a web service called SSRTool (RNA Secondary Structure prediction Ranking Tool) to assist in the ranking and evaluation of the generated predicted structures of a given sequence. Based on the computed species-specific interpretability significance in four common RNA structure–function aspects, SSRTool provides three functions along with visualization interfaces: (1) Rank user-generated predictions. (2) Provide an automated streamline of structure prediction and ranking for a given sequence. (3) Infer the functional aspects of a given structure. We demonstrated the applicability of SSRTool via real case studies and reported the similar trends between computed species-specific rankings and the corresponding prediction F1 values. The SSRTool web service is available online at,, or the redirecting site

頁(從 - 到)2473-2483
期刊Computational and Structural Biotechnology Journal
出版狀態Published - 2022 1月

All Science Journal Classification (ASJC) codes

  • 生物技術
  • 生物物理學
  • 結構生物學
  • 生物化學
  • 遺傳學
  • 電腦科學應用


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