Poolsap Unyanee, Kato Yuki, Akutsu Tatsuya
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan.
Pac Symp Biocomput. 2010:98-107. doi: 10.1142/9789814295291_0012.
Noncoding antisense RNAs have recently occupied considerable attention and several computational studies have been made on RNA-RNA interaction prediction. In this paper, we present novel dynamic programming algorithms for predicting the minimum energy secondary structure when binding sites of one of the two interacting RNAs are known. Experimental results on several known RNA-RNA interaction data show that our proposed method achieves good performance in accuracy and time.
非编码反义RNA最近受到了广泛关注，并且已经进行了一些关于RNA - RNA相互作用预测的计算研究。在本文中，我们提出了新颖的动态规划算法，用于在已知两个相互作用RNA之一的结合位点时预测最小能量二级结构。对几个已知的RNA - RNA相互作用数据的实验结果表明，我们提出的方法在准确性和时间方面都取得了良好的性能。
