Improved statistical methods reveal direct interactions between 16S and 23S rRNA.
Improved statistical methods reveal direct interactions between 16S and 23S rRNA.
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改进的统计方法揭示了 16S 和 23S rRNA 之间的直接相互作用。
DOI：
10.1093/nar/28.24.4938
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发表时间：
2000
影响因子：
14.9
通讯作者：
Stormo,GD
中科院分区：
文献类型：
--
作者：
Kelley,ST;Akmaev,VR;Stormo,GD
最近的生化研究表明 16S 和 23S rRNA 中的许多区域暴露在核糖体亚基表面。为了预测这些区域之间的潜在相互作用，我们应用了新的基于系统发育的统计方法来检测 rRNA 分子之间发生的相关核苷酸变化。通过这些方法，我们发现两个核糖体亚基中不同核苷酸组之间存在许多高度显着的相关变化。根据整个核糖体的最新晶体结构，具有最高相关值的预测属于非常接近的 rRNA 亚基区域。我们还应用了一种新的统计方法来检测这些相同 rRNA 亚基区域内的碱基三重相互作用。该碱基三元组统计预测了 rRNA 分子内成对相互作用统计未检测到的许多新碱基三元组。我们的结果表明，这些统计方法可以增强检测 RNA 分子内部和之间的新结构元件的能力。
Recent biochemical studies have indicated a number of regions in both the 16S and 23S rRNA that are exposed on the ribosomal subunit surface. In order to predict potential interactions between these regions we applied novel phylogenetically-based statistical methods to detect correlated nucleotide changes occurring between the rRNA molecules. With these methods we discovered a number of highly significant correlated changes between different sets of nucleotides in the two ribosomal subunits. The predictions with the highest correlation values belong to regions of the rRNA subunits that are in close proximity according to recent crystal structures of the entire ribosome. We also applied a new statistical method of detecting base triple interactions within these same rRNA subunit regions. This base triple statistic predicted a number of new base triples not detected by pair-wise interaction statistics within the rRNA molecules. Our results suggest that these statistical methods may enhance the ability to detect novel structural elements both within and between RNA molecules.