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首页> 外文期刊>Protein Science: A Publication of the Protein Society >PH-sensitive residues in the P19 RNA silencing suppressor protein from carnation Italian ringspot virus affect siRNA binding stability
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PH-sensitive residues in the P19 RNA silencing suppressor protein from carnation Italian ringspot virus affect siRNA binding stability

机译:康乃馨意大利环斑病毒的P19 RNA沉默抑制蛋白中的PH敏感残基影响siRNA结合稳定性

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摘要

Tombusviruses, such as Carnation Italian ringspot virus (CIRV), encode a protein homodimer called p19 that is capable of suppressing RNA silencing in their infected hosts by binding to and sequestering short-interfering RNA (siRNA) away from the RNA silencing pathway. P19 binding stability has been shown to be sensitive to changes in pH but the specific amino acid residues involved have remained unclear. Using constant pH molecular dynamics simulations, we have identified key pH-dependent residues that affect CIRV p19-siRNA binding stability at various pH ranges based on calculated changes in the free energy contribution from each titratable residue. At high pH, the deprotonation of Lys60, Lys67, Lys71, and Cys134 has the largest effect on the binding stability. Similarly, deprotonation of several acidic residues (Asp9, Glu12, Asp20, Glu35, and/or Glu41) at low pH results in a decrease in binding stability. At neutral pH, residues Glu17 and His132 provide a small increase in the binding stability and we find that the optimal pH range for siRNA binding is between 7.0 and 10.0. Overall, our findings further inform recent experiments and are in excellent agreement with data on the pH-dependent binding profile.
机译:诸如康乃馨意大利环斑病毒(CIRV)之类的汤姆巴斯病毒编码一种称为p19的蛋白质同型二聚体,该同型二聚体能够通过结合并隔离短干扰RNA(siRNA)使其远离RNA沉默途径来抑制其感染宿主中的RNA沉默。已经显示P19结合稳定性对pH的变化敏感,但是所涉及的特定氨基酸残基仍然不清楚。使用恒定的pH分子动力学模拟,我们基于每个可滴定残基的自由能贡献的计算变化,确定了影响pH在不同pH范围内CIRV p19-siRNA结合稳定性的关键pH依赖性残基。在高pH下,Lys60,Lys67,Lys71和Cys134的去质子化对结合稳定性的影响最大。同样,在低pH值下几个酸性残基(Asp9,Glu12,Asp20,Glu35和/或Glu41)的去质子化会导致结合稳定性下降。在中性pH下,残基Glu17和His132的结合稳定性略有提高,我们发现siRNA结合的最佳pH范围为7.0至10.0。总体而言,我们的发现进一步为最近的实验提供了信息,并且与pH依赖的结合谱数据非常吻合。

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