聖塔非研究所

使用 RNAcop 透過序列延伸優化 RNA 結構

2015-08-17 · 已發表論文 · 更新 2026/08/30 下午12:48

摘要 A key aspect of RNA secondary structure prediction is the identification of novel functional elements. This is a challenging task because these elements typically are embedded in longer t…

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  • 類型:已發表論文
  • 日期:2015-08-17

摘要

A key aspect of RNA secondary structure prediction is the identification of novel functional elements. This is a challenging task because these elements typically are embedded in longer transcripts where the borders between the element and flanking regions have to be defined. The flanking sequences impact the folding of the functional elements both at the level of 計算 analyses and when the element is extracted as a transcript for experimental analysis. Here, we analyze how different flanking region lengths impact folding into a constrained structure by computing probabilities of folding for different sizes of flanking regions. Our method, RNAcop (RNA context optimization by probability), is tested on known and de novo predicted structures. In vitro experiments support the 計算 analysis and su

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