Zuker M, Jacobson A B
Institute for Biomedical Computing, Washington University, St Louis, MO 63110, USA.
Nucleic Acids Res. 1995 Jul 25;23(14):2791-8. doi: 10.1093/nar/23.14.2791.
Recent structural analyses of genomic RNAs from RNA coliphages suggest that both well-determined base paired helices and well-determined structural domains that are identified by "energy dot plot" analysis using the RNA folding package mfold, are likely to be predicted correctly. To test these observations with another group of large RNAs, we have analyzed 15 ribosomal RNAs. Published secondary structure models that were derived by comparative sequence analysis were used to evaluate the predicted structures. Both the optimal predicted fold and the predicted "energy dot plot" of each sequence were examined. Each prediction was obtained from a single computer run on an entire ribosomal RNA sequence. All predicted base pairs in optimal foldings were examined for agreement with proven base pairs in the comparative models. Our analyses show that the overall correspondence between the predicted and comparative models varied for different RNAs and ranges from a low of 27% to high of 70%, with a mean value of 49%. The correspondence improves to a mean value of 81% when the analysis is limited to well-determined helices. In addition to well-determined helices, large well-determined structural domains can be observed in "energy dot plots" of some 16S ribosomal RNAs. The predicted domains correspond closely with structural domains that are found by the comparative method in the same RNAs. Our analyses also show that measuring the agreement between predicted and comparative secondary structure models underestimates the reliability of structural prediction by mfold.
近期对RNA噬菌体基因组RNA的结构分析表明,使用RNA折叠程序包mfold通过“能量点图”分析确定的碱基配对螺旋和结构域,都有可能被正确预测。为了用另一组大的RNA验证这些观察结果,我们分析了15种核糖体RNA。通过比较序列分析得出的已发表二级结构模型用于评估预测结构。检查了每个序列的最佳预测折叠和预测“能量点图”。每个预测都是在整个核糖体RNA序列上通过单次计算机运行获得的。检查了最佳折叠中所有预测的碱基对与比较模型中已证实的碱基对是否一致。我们的分析表明,预测模型与比较模型之间的总体对应关系因不同的RNA而异,范围从低至27%到高至70%,平均值为49%。当分析仅限于确定的螺旋时,对应关系提高到平均值81%。除了确定的螺旋外,在一些16S核糖体RNA的“能量点图”中还可以观察到较大的确定结构域。预测的结构域与通过比较方法在相同RNA中发现的结构域密切对应。我们的分析还表明,测量预测的二级结构模型与比较模型之间的一致性会低估mfold结构预测的可靠性。