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CompAnnotate:一种注释RNA三维结构中碱基配对相互作用的比较方法。

CompAnnotate: a comparative approach to annotate base-pairing interactions in RNA 3D structures.

作者信息

Islam Shahidul, Ge Ping, Zhang Shaojie

机构信息

Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA.

出版信息

Nucleic Acids Res. 2017 Aug 21;45(14):e136. doi: 10.1093/nar/gkx538.

Abstract

The analysis of RNA tertiary structure is hindered by the fact that not too many structural data are available and a significant amount of them are in low resolution. Due to the atomic coordinate errors posed by the limitations of low-resolution RNA three-dimensional structures, it becomes a critical challenge to extract key geometric characteristics of RNA, particularly, the interaction of bases. To address this issue, we have devised a comparative method, named CompAnnotate, that utilizes more precise structural information of high-resolution homologs to annotate the base-pairing interactions in the low-resolution structures, by aligning and making comparative geometric assessments. The benchmarking results show that our method can improve the annotations of the existing methods significantly. We have achieved different levels of improvements for various methods and datasets, including an example of significant sensitivity and precision enhancement from 28 to 57% and from 53 to 82%, respectively.

摘要

RNA三级结构的分析受到以下事实的阻碍:可用的结构数据并不多,而且其中大量数据的分辨率较低。由于低分辨率RNA三维结构的局限性所带来的原子坐标误差,提取RNA的关键几何特征,尤其是碱基之间的相互作用,成为一项严峻的挑战。为了解决这个问题,我们设计了一种名为CompAnnotate的比较方法,该方法通过对齐和进行比较几何评估,利用高分辨率同源物的更精确结构信息来注释低分辨率结构中的碱基配对相互作用。基准测试结果表明,我们的方法可以显著改善现有方法的注释。对于各种方法和数据集,我们都取得了不同程度的改进,包括一个显著提高灵敏度和精度的例子,灵敏度分别从28%提高到57%,精度从53%提高到82%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5f3/5737500/68d31844c3ae/gkx538fig1.jpg

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