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用介观模型评估 RNA 中单、串联和末端 GU 错配的氢键和碱基堆积作用。

Evaluating Hydrogen Bonds and Base Stacking of Single, Tandem and Terminal GU Mismatches in RNA with a Mesoscopic Model.

机构信息

Departamento de Física, Universidade Federal de Minas Gerais , 31270-901 Belo Horizonte-MG, Brazil.

出版信息

J Chem Inf Model. 2016 Jan 25;56(1):101-9. doi: 10.1021/acs.jcim.5b00571. Epub 2015 Dec 17.

DOI:10.1021/acs.jcim.5b00571
PMID:26624232
Abstract

Guanine-Uracil (GU) mismatches are crucial to the stability of the RNA double helix and need to be considered in RNA folding algorithms for numerous biotechnological applications. Yet despite its importance, many aspects of GU base pairs are still poorly understood. There is also a lack of parametrization which prevents it to be considered in mesoscopic models. Here, we adapted the mesoscopic Peyrard-Bishop model to deal with context-dependent hydrogen bonds of GU mismatches and calculated the model parameters related to hydrogen bonding and base stacking from available experimental melting temperatures. The context-dependence causes a proliferation of parameters which made the problem computationally very demanding. We were able to overcome this problem by systematically regrouping the parameters during the minimization procedure. Our results not only provide the much needed parametrization but also answer several questions about the general properties of GU base pairs, as they can be associated straightforwardly to hydrogen bonding and base stacking. In particular, we found a very small Morse potential for tandem 5'-GU-3', which confirms a single hydrogen bond for this configuration, answering a long-standing question over conflicting experimental findings. Terminal GU base pairs are known to increase the duplex stability, but it is not clear why. Our results suggest that the increased terminal stability is mostly due to stronger hydrogen bonding.

摘要

鸟嘌呤-尿嘧啶(GU)碱基对对于 RNA 双螺旋的稳定性至关重要,在许多生物技术应用的 RNA 折叠算法中都需要考虑它们。然而,尽管其重要性不言而喻,但 GU 碱基对的许多方面仍未得到充分理解。此外,由于缺乏参数化,GU 碱基对也无法在介观模型中得到考虑。在这里,我们对介观的 Peyrard-Bishop 模型进行了改编,以处理 GU 碱基对的上下文相关氢键,并从可用的实验熔解温度计算出与氢键和碱基堆积相关的模型参数。这种上下文相关性导致参数大量增加,这使得问题在计算上非常具有挑战性。我们通过在最小化过程中系统地对参数进行分组,成功克服了这个问题。我们的研究结果不仅提供了急需的参数化,还回答了关于 GU 碱基对一般性质的几个问题,因为它们可以直接与氢键和碱基堆积相关联。特别是,我们发现串联 5'-GU-3'的莫尔斯势非常小,这证实了这种构型只有一个氢键,解决了一个长期以来关于相互矛盾的实验结果的问题。末端 GU 碱基对已知会增加双链体的稳定性,但原因尚不清楚。我们的研究结果表明,增加的末端稳定性主要归因于更强的氢键。

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