基于氢键和碱基堆叠的RNA三维结构特征分类。

A Takasu, K Watanabe, G Kawai
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引用次数: 3

摘要

我们正在开发一个计算系统,根据其结构特征对RNA结构进行分类。在此基础上,引入了一种改进的分组算法,并将碱基叠加模式(BSP)和氢键模式(HBP)作为分类标准。HBP和BSP分别将15个mer RNA发夹的279个构象分为89个和36个类群,表明HBP比BSP更能代表构象特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of 3D structural character of RNA by hydrogen bond and base stacking.

We are developing a computational system to classify RNA structures by its structural character. Here, an improved grouping algorithm was introduced to the system and the base-stacking pattern (BSP) is used as a criterion for the classification in addition to hydrogen-bond pattern (HBP). 279 conformers of 15 mer RNA hairpin were classified into 89 and 36 groups by HBP and BSP, respectively, suggesting that HBP represents conformational character better than BSP.

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