RNA-protein interaction prediction based on formal grammars

在这项研究中，我们首先使用形式语法进行RNA-RNA相互作用预测。然后，我们建立了蛋白质二级结构模型，并开发了一种快速算法，用于蛋白质序列的二级结构预测。此外，我们提出了一个有效的算法预测结合位点的RNA序列的基础上，结合概况。所有这些方法都在真实的生物数据上进行了验证，并取得了良好的预测精度，至少与早期的方法相当。

In this study, we first performed RNA-RNA interaction prediction using formal grammars. We then modeled protein secondary structures and developed a fast algorithm for secondary structure prediction given protein sequences. Furthermore, we presented an efficient algorithm for binding site prediction in RNA sequences, based on binding profiles. All of these methods were validated on real biological data and achieved good prediction accuracy at least comparable to that of earlier methods.