IRIS: intermolecular RNA interaction search.
IRIS: intermolecular RNA interaction search.
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DOI：
10.11234/gi1990.15.2_92
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
D. Pervouchine
中科院分区：
文献类型：
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作者：
D. Pervouchine
在这里，我们提出了IRIS，预测RNA-RNA相互作用的方法，是基于动态规划和扩展目前的RNA二级结构预测方法。使用这种方法，我们发现了一些有趣的改进的RNA-RNA复合物的结构，已经研究过，并预测了新的目标，为几个已知的调控RNA在大肠杆菌。杆菌IRIS的计算时间和内存使用分别为O（n（3）m（3））和O（n（2）m（2）），其中n和m是输入序列的长度。IRIS可用于分析测序生物体中的反义调控系统，以及用于设计人工核糖核酸调节因子，如反义药物。
Here we present IRIS, a method for prediction of RNA-RNA interactions that is based on dynamic programming and extends current RNA secondary structure prediction approaches. Using this method we have found a number of interesting refinements to the structures of RNA-RNA complexes that have been studied previously and predicted novel targets for several known regulatory RNAs in E. coli. The computational time and memory usage of IRIS are O(n(3)m(3)) and O(n(2)m(2)), respectively, where n and m are the lengths of the input sequences. IRIS can be used for analysis of antisense regulatory systems in sequenced organisms and for the design of artificial riboregulators such as antisense drugs.