Fukunaga Tsukasa, Ozaki Haruka, Terai Goro, Asai Kiyoshi, Iwasaki Wataru, Kiryu Hisanori
Genome Biol. 2014 Jan 21;15(1):R16. doi: 10.1186/gb-2014-15-1-r16.
RNA-binding proteins (RBPs) bind to their target RNA molecules by recognizing specific RNA sequences and structural contexts. The development of CLIP-seq and related protocols has made it possible to exhaustively identify RNA fragments that bind to RBPs. However, no efficient bioinformatics method exists to reveal the structural specificities of RBP-RNA interactions using these data. We present CapR, an efficient algorithm that calculates the probability that each RNA base position is located within each secondary structural context. Using CapR, we demonstrate that several RBPs bind to their target RNA molecules under specific structural contexts. CapR is available at https://sites.google.com/site/fukunagatsu/software/capr.
RNA结合蛋白(RBPs)通过识别特定的RNA序列和结构背景与它们的靶RNA分子结合。CLIP-seq及相关实验方案的发展使得全面鉴定与RBPs结合的RNA片段成为可能。然而,目前还没有有效的生物信息学方法利用这些数据来揭示RBP-RNA相互作用的结构特异性。我们提出了CapR,这是一种高效的算法,可计算每个RNA碱基位置位于每个二级结构背景中的概率。使用CapR,我们证明了几种RBPs在特定的结构背景下与它们的靶RNA分子结合。CapR可在https://sites.google.com/site/fukunagatsu/software/capr获取。