ProbKnot: Fast prediction of RNA secondary structure including pseudoknots

被引:132
作者
Bellaousov, Stanislav [1 ,2 ]
Mathews, David H. [1 ,2 ,3 ]
机构
[1] Univ Rochester, Dept Biochem & Biophys, Med Ctr, Rochester, NY 14642 USA
[2] Univ Rochester, Ctr RNA Biol, Med Ctr, Rochester, NY 14642 USA
[3] Univ Rochester, Dept Biostat & Computat Biol, Med Ctr, Rochester, NY 14642 USA
基金
美国国家卫生研究院;
关键词
RNA partition function; RNA folding; RNA structure prediction; DYNAMIC-PROGRAMMING ALGORITHM; THERMODYNAMIC PARAMETERS; PARTITION-FUNCTION; MODEL; STABILITY; RFAM; COMPILATION; DATABASE; PATHWAY; 3-WAY;
D O I
10.1261/rna.2125310
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
It is a significant challenge to predict RNA secondary structures including pseudoknots. Here, a new algorithm capable of predicting pseudoknots of any topology, ProbKnot, is reported. ProbKnot assembles maximum expected accuracy structures from computed base-pairing probabilities in O(N-2) time, where N is the length of the sequence. The performance of ProbKnot was measured by comparing predicted structures with known structures for a large database of RNA sequences with fewer than 700 nucleotides. The percentage of known pairs correctly predicted was 69.3%. Additionally, the percentage of predicted pairs in the known structure was 61.3%. This performance is the highest of four tested algorithms that are capable of pseudoknot prediction. The program is available for download at: http://rna.urmc.rochester.edu/RNAstructure.html.
引用
收藏
页码:1870 / 1880
页数:11
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