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Novel Approach to Analyzing MFE of Noncoding RNA Sequences:

机译:分析非编码RNA序列MFE的新方法:

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Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence itself. In this study, the optimal secondary structure or the minimum free energy (MFE) structure of ncRNA was found based on the thermodynamic nearest neighbor model. MFE of over 2600 ncRNA sequences was analyzed in view of its signal properties. Mathematical models linking MFE to the signal properties were found for each of the four classes of ncRNA analyzed. MFE values computed with the proposed models were in concordance with those obtained with the standard web servers. A total of 95% of the sequences analyzed had deviation of MFE values within ±15% relative to those obtained from standard web servers.
机译:在过去几十年中,对不同基因组的研究提供了有关ncRNA的大量信息之后,基因组学研究已成为非编码RNA(ncRNA)的中心。 ncRNA的功能由其二级结构决定,在整个生物中,二级结构比序列本身更保守。在这项研究中,基于热力学最近邻模型找到了ncRNA的最佳二级结构或最小自由能(MFE)结构。鉴于其信号特性,分析了2600多个ncRNA序列的MFE。对于所分析的四类ncRNA中的每一种,都找到了将MFE与信号特性联系起来的数学模型。使用建议的模型计算的MFE值与使用标准Web服务器获得的MFE值一致。相对于从标准Web服务器获得的序列,总共分析的95%序列的MFE值偏差在±15%以内。

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