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估计 RNA 二级结构预测折叠自由能变化的不确定性。

Estimating uncertainty in predicted folding free energy changes of RNA secondary structures.

机构信息

Department of Biochemistry and Biophysics and Center for RNA Biology, University of Rochester Medical Center, Rochester, New York, 14642, USA.

Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, 14642, USA.

出版信息

RNA. 2019 Jun;25(6):747-754. doi: 10.1261/rna.069203.118. Epub 2019 Apr 5.

Abstract

Nearest neighbor parameters for estimating the folding stability of RNA are commonly used in secondary structure prediction, for generating folding ensembles of structures, and for analyzing RNA function. Previously, we demonstrated that we could quantify the uncertainties in each nearest neighbor parameter by perturbing the underlying optical melting data within experimental error and rederiving the parameters, which accounts for the substantial correlations that exist between the parameters. In this contribution, we describe a method to estimate uncertainty in the estimated folding stabilities of RNA structures, accounting for correlations in the nearest neighbor parameters. This method is incorporated in the RNA structure software package.

摘要

在二级结构预测、生成结构折叠集合以及分析 RNA 功能时,通常使用用于估计 RNA 折叠稳定性的最近邻参数。之前,我们证明通过在实验误差范围内扰动基础的光熔解数据并重新推导参数,可以量化每个最近邻参数的不确定性,这解释了参数之间存在的大量相关性。在本贡献中,我们描述了一种估计 RNA 结构估计折叠稳定性不确定性的方法,该方法考虑了最近邻参数的相关性。该方法包含在 RNA 结构软件包中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a593/6521603/89bb9f8e1459/747f01.jpg

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