Ono Yukiteru, Asai Kiyoshi
Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan.
Methods Mol Biol. 2023;2586:1-14. doi: 10.1007/978-1-0716-2768-6_1.
Predicting the secondary structures of RNA molecules is an essential step to characterize their functions, but the thermodynamic probability of any prediction is generally small. On the other hand, there are a few tools for calculating and visualizing various secondary structural information from RNA sequences. We implemented a web server that calculates in parallel various features of secondary structures: different types of secondary structure predictions, the marginal probabilities for local structural contexts, accessibilities of the subsequences, the energy changes by arbitrary base mutations, and the measures for validations of the predicted secondary structures. The web server is available at http://rtools.cbrc.jp , which integrates software tools, CentroidFold, CentroidHomfold, IPknot, CapR, Raccess, Rchange, RintD, and RintW.
预测RNA分子的二级结构是表征其功能的关键步骤,但任何预测的热力学概率通常都很小。另一方面,有一些工具可用于从RNA序列计算和可视化各种二级结构信息。我们实现了一个网络服务器,它可以并行计算二级结构的各种特征:不同类型的二级结构预测、局部结构上下文的边际概率、子序列的可及性、任意碱基突变引起的能量变化以及预测二级结构的验证措施。该网络服务器可在http://rtools.cbrc.jp上获取,它集成了软件工具CentroidFold、CentroidHomfold、IPknot、CapR、Raccess、Rchange、RintD和RintW。