Computational approaches to RNA structure prediction, analysis, and design.

Computational approaches to RNA structure prediction, analysis, and design.
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DOI:
10.1016/j.sbi.2011.03.015
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发表时间:
2011-06
影响因子:
6.8
通讯作者:
Schlick, Tamar
Schlick, Tamar
中科院分区:
生物学2区
文献类型:
--
作者:
Laing, Christian;Schlick, Tamar

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RNA分子是参与许多基本生物过程的重要细胞组分。了解其功能背后的机制需要RNA三级结构知识。虽然用于研究RNA结构和动力学的建模方法落后于蛋白质折叠的努力,但在过去两年中取得了很大进展。在这里,我们回顾了最近的进展,RNA折叠算法,RNA的三级基序发现,图论方法的应用,RNA的结构和功能,并在硅片生成的RNA序列池的适体设计。每个领域的进展可以结合起来影响RNA结构和功能中的许多问题。
RNA molecules are important cellular components involved in many fundamental biological processes. Understanding the mechanisms behind their functions requires RNA tertiary structure knowledge. While modeling approaches for the study of RNA structures and dynamics lag behind efforts in protein folding, much progress has been achieved in the past two years. Here, we review recent advances in RNA folding algorithms, RNA tertiary motif discovery, applications of graph theory approaches to RNA structure and function, and in silico generation of RNA sequence pools for aptamer design. Advances within each area can be combined to impact many problems in RNA structure and function.
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