Parisien Marc, Cruz José Almeida, Westhof Eric, Major François
Institute for Research in Immunology and Cancer, Department of Computer Science and Operations Research, Université de Montréal, Montréal, Québec, Canada.
RNA. 2009 Oct;15(10):1875-85. doi: 10.1261/rna.1700409. Epub 2009 Aug 26.
To benchmark progress made in RNA three-dimensional modeling and assess newly developed techniques, reliable and meaningful comparison metrics and associated tools are necessary. Generally, the average root-mean-square deviations (RMSDs) are quoted. However, RMSD can be misleading since errors are spread over the whole molecule and do not account for the specificity of RNA base interactions. Here, we introduce two new metrics that are particularly suitable to RNAs: the deformation index and deformation profile. The deformation index is calibrated by the interaction network fidelity, which considers base-base-stacking and base-base-pairing interactions within the target structure. The deformation profile highlights dissimilarities between structures at the nucleotide scale for both intradomain and interdomain interactions. Our results show that there is little correlation between RMSD and interaction network fidelity. The deformation profile is a tool that allows for rapid assessment of the origins of discrepancies.
为了衡量RNA三维建模所取得的进展并评估新开发的技术,可靠且有意义的比较指标及相关工具是必要的。一般来说,会引用平均均方根偏差(RMSD)。然而,RMSD可能会产生误导,因为误差分布在整个分子上,且没有考虑RNA碱基相互作用的特异性。在此,我们引入了两个特别适用于RNA的新指标:变形指数和变形轮廓。变形指数通过相互作用网络保真度进行校准,该保真度考虑了目标结构内的碱基堆积和碱基配对相互作用。变形轮廓突出了结构在核苷酸尺度上域内和域间相互作用的差异。我们的结果表明,RMSD与相互作用网络保真度之间几乎没有相关性。变形轮廓是一种能够快速评估差异来源的工具。