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Estimation of Relative Protein-RNA Binding Strengths from Fluctuations in the Bound State

机译:从绑定状态的波动估计相对蛋白-RNA的相对结合强度。

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摘要

Protein RNA complexes are increasingly important in our Understanding of cell :signaling, metabolism, and transcription. Electrostatic interactions play-dominant role in stabilizing Such complexes. Using conventional computational approaches; very long simulations of both bound and unbound states are: required to obtain accurate estimates of complex dissociation constants (K-d). Here,. we derive a simple formula that offers an alternative approach based on the theory of fluctuations. Our method extracts' a strong correlate to experimental Kd values using short molecular dynamics simulations of the bound complex only. To test our method, we compared the computed relative K-d values to our experimentally measured values for the U1A-Stem Loop 2 (SL2) RNA complex, which is one of the most-studied protein-RNA complexes. Additionally we also included several experimental values from the literature, to enlarge the data set. We obtain a correlation of r = 0.93 between theoretical and measured estimates of Kd values of the mutated UlA protein RNA complexes relative to the wild type dissociation constant. The proposed method increases the efficiency of relative K-d values-estimation for multiple protein mutarats, allowingr its applicability to protein engineering projects.
机译:蛋白质RNA复合物在我们对细胞的了解中越来越重要:信号转导,代谢和转录。静电相互作用在稳定此类络合物中起主要作用。使用传统的计算方法;束缚状态和非束缚状态的非常长的模拟是:需要获得复杂的解离常数(K-d)的准确估计。这里,。我们得出了一个简单的公式,它基于波动理论提供了一种替代方法。我们的方法仅使用结合复合物的短分子动力学模拟来提取与实验Kd值的强相关性。为了测试我们的方法,我们将计算出的相对K-d值与U1A-Stem Loop 2(SL2)RNA复合物的实验测量值进行了比较,该复合物是研究最多的蛋白质-RNA复合物之一。此外,我们还包括了文献中的几个实验值,以扩大数据集。我们获得相对于野生型解离常数的突变的UlA蛋白RNA复合物的Kd值的理论和实测值之间的相关性r = 0.93。所提出的方法提高了多个蛋白质突变体的相对K-d值估计的效率,使其适用于蛋白质工程项目。

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